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    <item>
      <title>SafeVL: Driving Safety Evaluation via Meticulous Reasoning in Vision Language Models</title>
      <link>https://research.nvidia.com/labs/aspire/publication/ma.cao.etal.arxiv2025/</link>
      <pubDate>Wed, 31 Dec 2025 00:00:00 -0400</pubDate>
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    <item>
      <title>Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail</title>
      <link>https://research.nvidia.com/labs/aspire/publication/wang.luo.etal.arxiv2025/</link>
      <pubDate>Tue, 30 Dec 2025 00:00:00 +0000</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>
      <guid>https://research.nvidia.com/labs/aspire/publication/yang.chen.etal.arxiv2025/</guid>
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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>
      <guid>https://research.nvidia.com/labs/aspire/publication/tan.chitta.etal.arxiv2025/</guid>
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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>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>
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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>
      <description></description>
    </item>
    
    <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>
      <description></description>
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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>
      <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>
      <description></description>
    </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>
      <description></description>
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    <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>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>
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    <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>
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    <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>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>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>
    </item>
    
    <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>
    </item>
    
    <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>
    </item>
    
    <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>
    </item>
    
    <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>
    </item>
    
    <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>
    </item>
    
    <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>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>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>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>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>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>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>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>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>
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    <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>
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    <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>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>
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