Publications

Our publications provide insight into some of our leading-edge research.

Filters

Filters

Publication Year

Research Areas

Events

2025

Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution
Taylor Patti, Thien Nguyen, Justin Lietz, Alex McCaskey, Brucek Khailany
Isaac Lab: A GPU Accelerated Simulation Framework For Multi-Modal Robot Learning
Mayank Mittal, Kelly Guo, Gavriel State, Spencer Huang
FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures
Yunsheng Bai, Ghaith Bany Hamad, Chia-Tung (Mark) Ho, Syed Suhaib, Mark Haoxing Ren
VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations
Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Pin-Jui Ku, Ante Jukić, Huck Yang, Yu Tsao, Frank Wang, Hung-yi Lee, Szu-Wei Fu
Assessing Learned Models for Phase-only Hologram Compression
Zicong Peng, Yicheng Zhan, Josef Spjut, Kaan Akşit
Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models
Alex Zook, Josef Spjut, Jonathan Tremblay
Generative Detail Enhancement for Physically Based Materials
Saeed Hadadan, Benedikt Bitterli, Tizian Zeltner, Jan Novák, Fabrice Rousselle, Jacob Munkberg, Jon Hasselgren, Bart Wronski, Matthias Zwicker
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Mike Pritchard, Alex Keller
Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding
Nidhi Bhatia, Ankit More, Ritika Borkar, Tiyasa Mitra, Ramon Matas, Ritchie Zhao, Maximilian Golub, Dheevatsa Mudigere, Brian Pharris, Bita Darvish Rouhani
Spec2RTL-Agent: Automated Hardware Code Generation from Complex Specifications Using LLM Agent Systems
Zhongzhi Yu, Mingjie Liu, Michael Zimmer, Yingyan (Celine) Lin, Yong Liu, Mark Haoxing Ren
AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL
Yunsheng Bai, Ghaith Bany Hamad, Syed Suhaib, Mark Haoxing Ren
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
Eitan Shaar, Ariel Shaulov, Gal Chechik, Lior Wolf
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Lital Binyamin, Yoad Tewel, Eran Hirsch, Royi Rassin, Gal Chechik
TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features
Dana Cohen-Bar, Daniel Cohen-Or, Gal Chechik, Yoni Kasten
GRS: Generating robotic simulation tasks from real-world images
Alex Zook, Josef Spjut, Jonathan Tremblay
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Ali Hatamizadeh, Jan Kautz
Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design
Chia-Tung (Mark) Ho, Jing Gong, Yunsheng Bai, Chenhui Deng, Mark Haoxing Ren, Brucek Khailany
Beyond the Buzz: A Pragmatic Take on Inference Disaggregation
Tiyasa Mitra, Ritika Borkar, Nidhi Bhatia, Ramon Matas, Shivam Raj, Dheevatsa Mudigere, Ritchie Zhao, Maximilian Golub, Arpan Dutta, Sailaja Madduri, Dharmesh Jani, Brian Pharris, Bita Darvish Rouhani
SLIM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
Mohammad Mozaffari , Amir Yazdanbakhsh, Maryam Mehri Dehnavi
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond
Jessie Richter-Powell, Antonio Torralba, Jonathan Lorraine
Gated Delta Networks: Improving Mamba2 with Delta Rule
Songlin Yang, Jan Kautz, Ali Hatamizadeh
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu (Jason), Song Han
Audio Large Language Models Can Be Descriptive Speech Quality Evaluators
Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Huck Yang, EngSiong Chng
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models,
Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari
Add-it: Training-Free Object Insertion in Images via Pretrained Diffusion Models
Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao, Huck Yang, Renhe Jiang, Ming Jin, Shirui Pan
NVIDIA Isaac GR00T N1: An Open Foundation Model for Humanoid Robots
Yuke Zhu, Linxi "Jim" Fan, NVIDIA GEAR Team
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng
Multi-student Diffusion Distillation for Better One-step Generators
Yanke Song, Jonathan Lorraine, Weili Nie, Karsten Kreis, James Lucas
Spatio-Temporal Context Prompting for Zero-Shot Action Detection
Wei-Jhe Huang, Min-Hung Chen, Shang-Hong Lai
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
Ci-Siang Lin, Chien-Yi Wang, Frank Wang, Min-Hung Chen