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      <title>SafeVL: Driving Safety Evaluation via Meticulous Reasoning in Vision Language Models</title>
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      <title>Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail</title>
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      <pubDate>Tue, 30 Dec 2025 00:00:00 +0000</pubDate>
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    <item>
      <title>LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/nguyen.fauth.etal.arxiv2025/</link>
      <pubDate>Tue, 23 Dec 2025 00:00:00 -0400</pubDate>
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    <item>
      <title>Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</link>
      <pubDate>Thu, 11 Dec 2025 18:59:46 +0000</pubDate>
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    <item>
      <title>Latent Chain-of-Thought World Modeling for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tan.chitta.etal.arxiv2025/</link>
      <pubDate>Thu, 11 Dec 2025 00:00:00 -0400</pubDate>
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    <item>
      <title>Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions</title>
      <link>https://research.nvidia.com/labs/aspire/publication/li.fan.etal.neurips2025/</link>
      <pubDate>Tue, 09 Dec 2025 00:00:00 -0800</pubDate>
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    <item>
      <title>Optimization-Guided Diffusion for Interactive Scene Generation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/li.ye.etal.arxiv2025/</link>
      <pubDate>Mon, 08 Dec 2025 00:00:00 +0000</pubDate>
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    <item>
      <title>Beyond Behavior Cloning in Autonomous Driving: a Survey of Closed-Loop Training Techniques</title>
      <link>https://research.nvidia.com/labs/aspire/publication/karkus.igl.etal.pami2025/</link>
      <pubDate>Fri, 05 Dec 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/karkus.igl.etal.pami2025/</guid>
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    <item>
      <title>ReSim: Reliable World Simulation for Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.chitta.etal.neurips2025/</link>
      <pubDate>Tue, 02 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.chitta.etal.neurips2025/</guid>
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    <item>
      <title>RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies</title>
      <link>https://research.nvidia.com/labs/aspire/publication/garciacobo.igl.etal.arxiv2025/</link>
      <pubDate>Mon, 01 Dec 2025 18:52:03 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/garciacobo.igl.etal.arxiv2025/</guid>
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    <item>
      <title>Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/lin.zhang.etal.neurips2025/</link>
      <pubDate>Mon, 01 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/lin.zhang.etal.neurips2025/</guid>
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    <item>
      <title>Extrapolated Urban View Synthesis Benchmark</title>
      <link>https://research.nvidia.com/labs/aspire/publication/han.jia.etal.iccv2025/</link>
      <pubDate>Sun, 19 Oct 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/han.jia.etal.iccv2025/</guid>
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    <item>
      <title>Wolf: Dense Video Captioning with a World Summarization Framework</title>
      <link>https://research.nvidia.com/labs/aspire/publication/li.zhu.etal.tmlr2025/</link>
      <pubDate>Tue, 07 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/li.zhu.etal.tmlr2025/</guid>
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    <item>
      <title>CaRL: Learning Scalable Planning Policies with Simple Rewards</title>
      <link>https://research.nvidia.com/labs/aspire/publication/jaeger.dauner.etal.corl2025/</link>
      <pubDate>Wed, 20 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/jaeger.dauner.etal.corl2025/</guid>
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    <item>
      <title>Can Test-Time Scaling Improve World Foundation Model?</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cong.zhu.etal.colm2025/</link>
      <pubDate>Fri, 08 Aug 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cong.zhu.etal.colm2025/</guid>
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    <item>
      <title>Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.arxiv2025/</link>
      <pubDate>Wed, 30 Jul 2025 05:22:45 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.arxiv2025/</guid>
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    <item>
      <title>Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/luo.yang.etal.corl2025/</link>
      <pubDate>Wed, 25 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/luo.yang.etal.corl2025/</guid>
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    <item>
      <title>RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhao.ivanovic.mehr.rss2025/</link>
      <pubDate>Sat, 21 Jun 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhao.ivanovic.mehr.rss2025/</guid>
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    <item>
      <title>Diagnostic Runtime Monitoring with Martingales</title>
      <link>https://research.nvidia.com/labs/aspire/publication/hindy.luo.etal.rss2025/</link>
      <pubDate>Sat, 21 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/hindy.luo.etal.rss2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.saltori.etal.ral2025/</link>
      <pubDate>Fri, 13 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.saltori.etal.ral2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Data Scaling Laws for End-to-End Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/naumann.gu.etal.cvprw2025/</link>
      <pubDate>Wed, 11 Jun 2025 08:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/naumann.gu.etal.cvprw2025/</guid>
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    </item>
    
    <item>
      <title>Pseudo-Simulation for Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cao.hallgarten.etal.corl2025/</link>
      <pubDate>Wed, 04 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cao.hallgarten.etal.corl2025/</guid>
      <description></description>
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    <item>
      <title>E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cong.liang.etal.arxiv2025/</link>
      <pubDate>Mon, 02 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cong.liang.etal.arxiv2025/</guid>
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    <item>
      <title>SHRED: Synthesizing Rule-Based Environments for Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/fauth.nguyen.etal.cvprw2025/</link>
      <pubDate>Sun, 01 Jun 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/fauth.nguyen.etal.cvprw2025/</guid>
      <description></description>
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    <item>
      <title>Open X-AV: Unifying End-to-End Autonomous Driving Datasets</title>
      <link>https://research.nvidia.com/labs/aspire/publication/nguyen.fauth.etal.cvprw2025/</link>
      <pubDate>Sat, 31 May 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/nguyen.fauth.etal.cvprw2025/</guid>
      <description></description>
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    <item>
      <title>LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhang.wu.etal.naacl2025/</link>
      <pubDate>Tue, 29 Apr 2025 09:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhang.wu.etal.naacl2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cho.cao.etal.iclr2025/</link>
      <pubDate>Thu, 24 Apr 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cho.cao.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>OmniRe: Omni Urban Scene Reconstruction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.yang.etal.iclr2025/</link>
      <pubDate>Sat, 19 Apr 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.yang.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/jin.li.etal.iclr2025/</link>
      <pubDate>Sat, 12 Apr 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/jin.li.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/</link>
      <pubDate>Fri, 14 Mar 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhang.karkus.etal.cvpr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds</title>
      <link>https://research.nvidia.com/labs/aspire/publication/fan.cong.etal.arxiv2025/</link>
      <pubDate>Fri, 07 Mar 2025 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/fan.cong.etal.arxiv2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Online Aggregation of Trajectory Predictors</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tong.sharma.etal.icra2025/</link>
      <pubDate>Tue, 11 Feb 2025 02:01:56 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tong.sharma.etal.icra2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Surprise Potential as a Measure of Interactivity in Driving Scenarios</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ding.veer.etal.arxiv2025/</link>
      <pubDate>Sat, 08 Feb 2025 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ding.veer.etal.arxiv2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>DreamDrive: Generative 4D Scene Modeling from Street View Images</title>
      <link>https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/</link>
      <pubDate>Fri, 03 Jan 2025 00:00:00 -0500</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/mao.li.etal.icra2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.huang.etal.iclr2025/</link>
      <pubDate>Tue, 31 Dec 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.huang.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/lu.yang.etal.iclr2025/</link>
      <pubDate>Tue, 10 Dec 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/lu.yang.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data</title>
      <link>https://research.nvidia.com/labs/aspire/publication/huang.zheng.wang.etal.neurips2024/</link>
      <pubDate>Sat, 23 Nov 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/huang.zheng.wang.etal.neurips2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Learning Multiple Initial Solutions to Optimization Problems</title>
      <link>https://research.nvidia.com/labs/aspire/publication/sharony.yang.etal.arxiv24/</link>
      <pubDate>Mon, 04 Nov 2024 00:00:00 +0000</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/sharony.yang.etal.arxiv24/</guid>
      <description></description>
    </item>
    
    <item>
      <title>DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features</title>
      <link>https://research.nvidia.com/labs/aspire/publication/wang.kim.etat.neurips2024/</link>
      <pubDate>Thu, 31 Oct 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/wang.kim.etat.neurips2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Large Spatial Model: End-to-end Unposed Images to Semantic 3D</title>
      <link>https://research.nvidia.com/labs/aspire/publication/fan.zhang.etal.neurips2024/</link>
      <pubDate>Thu, 24 Oct 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/fan.zhang.etal.neurips2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>LoRD: Adapting Differentiable Driving Policies to Distribution Shifts</title>
      <link>https://research.nvidia.com/labs/aspire/publication/diehl.karkus.etal.icra2025/</link>
      <pubDate>Sun, 13 Oct 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/diehl.karkus.etal.icra2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline</title>
      <link>https://research.nvidia.com/labs/aspire/publication/deglurkar.shen.etal.cdc2024/</link>
      <pubDate>Wed, 09 Oct 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/deglurkar.shen.etal.cdc2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/huang.weng.etal.icra2025/</link>
      <pubDate>Tue, 08 Oct 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/huang.weng.etal.icra2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.icra2025/</link>
      <pubDate>Thu, 26 Sep 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chakraborty.feng.etal.icra2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Promptable Closed-loop Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl2024/</link>
      <pubDate>Mon, 09 Sep 2024 17:59:15 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.cvpr2024/</link>
      <pubDate>Mon, 15 Jul 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.cvpr2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention</title>
      <link>https://research.nvidia.com/labs/aspire/publication/gu.song.etal.eccv2024/</link>
      <pubDate>Tue, 09 Jul 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/gu.song.etal.eccv2024/</guid>
      <description></description>
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    <item>
      <title>Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tian.li.etal.corl2024/</link>
      <pubDate>Mon, 01 Jul 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tian.li.etal.corl2024/</guid>
      <description></description>
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    <item>
      <title>NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking</title>
      <link>https://research.nvidia.com/labs/aspire/publication/dauner.hallgarten.etal.neurips2024/</link>
      <pubDate>Fri, 21 Jun 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/dauner.hallgarten.etal.neurips2024/</guid>
      <description></description>
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    <item>
      <title>Driving Everywhere with Large Language Model Policy Adaptation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/li.wang.etal.cvpr24/</link>
      <pubDate>Sun, 09 Jun 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/li.wang.etal.cvpr24/</guid>
      <description></description>
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    <item>
      <title>Parallelized Spatiotemporal Binding</title>
      <link>https://research.nvidia.com/labs/aspire/publication/singh.wang.etal.icml24/</link>
      <pubDate>Sun, 09 Jun 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/singh.wang.etal.icml24/</guid>
      <description></description>
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    <item>
      <title>Producing and Leveraging Online Map Uncertainty in Trajectory Prediction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/gu.song.etal.cvpr24/</link>
      <pubDate>Sun, 09 Jun 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/gu.song.etal.cvpr24/</guid>
      <description></description>
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    <item>
      <title>DiffuBox: Refining 3D Object Detection with Point Diffusion</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.liu.luo.etal.neurips2024/</link>
      <pubDate>Sat, 25 May 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.liu.luo.etal.neurips2024/</guid>
      <description></description>
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    <item>
      <title>RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts</title>
      <link>https://research.nvidia.com/labs/aspire/publication/patrikar.veer.etal.isrr2024/</link>
      <pubDate>Sat, 18 May 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/patrikar.veer.etal.isrr2024/</guid>
      <description></description>
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    <item>
      <title>Language-Image Models with 3D Understanding</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cho.ivanovic.etal.iclr2025/</link>
      <pubDate>Mon, 06 May 2024 00:00:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cho.ivanovic.etal.iclr2025/</guid>
      <description></description>
    </item>
    
    <item>
      <title>RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/</link>
      <pubDate>Tue, 16 Jan 2024 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ding.cao.etal.arxiv23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>A Language Agent for Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/mao.ye.etal.arxiv2023/</link>
      <pubDate>Fri, 01 Dec 2023 01:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/mao.ye.etal.arxiv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Dolphins: Multimodal Language Model for Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2023/</link>
      <pubDate>Fri, 01 Dec 2023 01:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.tonkens.etal.arxiv2023/</link>
      <pubDate>Fri, 01 Dec 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.tonkens.etal.arxiv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.ivanovic.etal.arxiv2023/</link>
      <pubDate>Mon, 13 Nov 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.ivanovic.etal.arxiv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Partial-View Object View Synthesis via Filtered Inversion</title>
      <link>https://research.nvidia.com/labs/aspire/publication/sun.tremblay.etal.3dv2024/</link>
      <pubDate>Sun, 12 Nov 2023 07:59:00 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/sun.tremblay.etal.3dv2024/</guid>
      <description></description>
    </item>
    
    <item>
      <title>trajdata: A Unified Interface to Multiple Human Trajectory Datasets</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.song.etal.neuripsdb23/</link>
      <pubDate>Sat, 11 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.song.etal.neuripsdb23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/sharma.veer.etal.neurips23/</link>
      <pubDate>Fri, 10 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/sharma.veer.etal.neurips23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Language-Guided Traffic Simulation via Scene-Level Diffusion</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.corl23/</link>
      <pubDate>Wed, 08 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.corl23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Language Conditioned Traffic Generation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl23/</link>
      <pubDate>Tue, 07 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/tan.ivanovic.etal.corl23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors</title>
      <link>https://research.nvidia.com/labs/aspire/publication/veer.sharma.etal.corl23/</link>
      <pubDate>Mon, 06 Nov 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/veer.sharma.etal.corl23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving</title>
      <link>https://research.nvidia.com/labs/aspire/publication/huang.karkus.etal.arxiv2023/</link>
      <pubDate>Mon, 30 Oct 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/huang.karkus.etal.arxiv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps</title>
      <link>https://research.nvidia.com/labs/aspire/publication/luo.weng.etal.arxiv23/</link>
      <pubDate>Mon, 30 Oct 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/luo.weng.etal.arxiv23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Interactive Joint Planning for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.veer.etal.arxiv23/</link>
      <pubDate>Mon, 30 Oct 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.veer.etal.arxiv23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Reinforcement Learning with Human Feedback for Realistic Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cao.ivanovic.etal.arxiv23/</link>
      <pubDate>Mon, 30 Oct 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cao.ivanovic.etal.arxiv23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/kang.chen.etal.cdc2023/</link>
      <pubDate>Wed, 02 Aug 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/kang.chen.etal.cdc2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility</title>
      <link>https://research.nvidia.com/labs/aspire/publication/hsu.leung.etal.iros2023/</link>
      <pubDate>Tue, 01 Aug 2023 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/hsu.leung.etal.iros2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ding.che.etal.icml2023/</link>
      <pubDate>Sun, 23 Jul 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ding.che.etal.icml2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/antonante.veer.etal.rss2023/</link>
      <pubDate>Wed, 12 Jul 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/antonante.veer.etal.rss2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition</title>
      <link>https://research.nvidia.com/labs/aspire/publication/topan.chen.etal.iv2023/</link>
      <pubDate>Sun, 04 Jun 2023 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/topan.chen.etal.iv2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.pavone.etal.cvpr2023/</link>
      <pubDate>Tue, 21 Mar 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.pavone.etal.cvpr2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/yang.pavone.cvpr2023/</link>
      <pubDate>Tue, 21 Mar 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.pavone.cvpr2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Learning Autonomous Vehicle Safety Concepts from Demonstrations</title>
      <link>https://research.nvidia.com/labs/aspire/publication/leung.veer.etal.acc2023/</link>
      <pubDate>Mon, 16 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/leung.veer.etal.acc2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>BITS: Bi-level Imitation for Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/xu.chen.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/xu.chen.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.harrison.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.harrison.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Guided Conditional Diffusion for Controllable Traffic Simulation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhong.rempe.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/christianos.karkus.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/christianos.karkus.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/veer.leung.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/veer.leung.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Tree-structured Policy Planning with Learned Behavior Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.karkus.etal.icra2023/</link>
      <pubDate>Sun, 15 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.karkus.etal.icra2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Robust and Controllable Object-Centric Learning through Energy-based Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/zhang.che.etal.iclr2023/</link>
      <pubDate>Sat, 14 Jan 2023 00:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/zhang.che.etal.iclr2023/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Robust Trajectory Prediction against Adversarial Attacks</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cao.xu.etal.corl2022/</link>
      <pubDate>Fri, 23 Sep 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cao.xu.etal.corl2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/karkus.ivanovic.etal.corl2022/</link>
      <pubDate>Fri, 23 Sep 2022 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/karkus.ivanovic.etal.corl2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles</title>
      <link>https://research.nvidia.com/labs/aspire/publication/farid.veer.etal.corl2022/</link>
      <pubDate>Fri, 23 Sep 2022 09:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/farid.veer.etal.corl2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>AdvDO: Realistic Adversarial Attacks for Trajectory Prediction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/cao.xiao.etal.eccv2022/</link>
      <pubDate>Thu, 22 Sep 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/cao.xiao.etal.eccv2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Towards Data-Driven Synthesis of Autonomous Vehicle Safety Concepts</title>
      <link>https://research.nvidia.com/labs/aspire/publication/leung.bajcsy.etal.arxiv2022/</link>
      <pubDate>Fri, 20 May 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/leung.bajcsy.etal.arxiv2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Propagating State Uncertainty Through Trajectory Forecasting</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.lin.etal.icra2022/</link>
      <pubDate>Tue, 22 Feb 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.lin.etal.icra2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning</title>
      <link>https://research.nvidia.com/labs/aspire/publication/chen.ivanovic.etal.cvpr2022/</link>
      <pubDate>Tue, 22 Feb 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/chen.ivanovic.etal.cvpr2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction</title>
      <link>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.cvpr2022/</link>
      <pubDate>Tue, 22 Feb 2022 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.cvpr2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/topan.leung.etal.iv2022/</link>
      <pubDate>Sat, 23 Oct 2021 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/topan.leung.etal.iv2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.iv2022/</link>
      <pubDate>Mon, 18 Oct 2021 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/weng.ivanovic.etal.iv2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Injecting Planning-Awareness into Prediction and Detection Evaluation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.pavone.iv2022/</link>
      <pubDate>Thu, 07 Oct 2021 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.pavone.iv2022/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Rethinking Trajectory Forecasting Evaluation</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ivanovic.pavone.arxiv2021/</link>
      <pubDate>Wed, 21 Jul 2021 10:21:59 -0400</pubDate>
      <guid>https://research.nvidia.com/labs/aspire/publication/ivanovic.pavone.arxiv2021/</guid>
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