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

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2025

Task-Based Tensor Computations on Modern GPUs
Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
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, Haoxing (Mark) 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
Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns
Behrooz Zarebavani, Danny Kaufman, David Levin, Maryam Mehri Dehnavi
Inference-Time Policy Steering through Human Interactions
Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Pérez D’Arpino , Dieter Fox, Julie Shah
Score Distillation Sampling for Audio: Source Separation, Synthesis, and Beyond
Jessie Richter-Powell, Antonio Torralba, Jonathan Lorraine
Fugatto 1 - Foundational Generative Audio Transformer Opus 1
Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joao Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya AIJa'fari, Alex Liu, Kevin Shih, Wei Ping, Huck Yang, Bryan Catanzaro
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
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation
Alexander H. Liu, Sang-gil Lee, Huck Yang, Yuan Gong, Frank Wang, James R. Glas, Rafael Valle
Toward Understanding Display Size for FPS Esports Aiming
Arjun Madhusudan, Josef Spjut, Benjamin Watson, Seth Schneider, Ben Boudaoud, Joohwan Kim
Towards Neural Scaling Laws for Time Series Foundation Models
Qingren Yao, Huck Yang, Renhe Jiang, Ming Jin, Shirui Pan
Modeling Visually-Guided Aim-and-Shoot behavior in First-Person Shoters
June-Seop Yoon, Hee-Seung Moon, Ben Boudaoud, Josef Spjut, Iuri Frosio, Byungjoo Lee, Joohwan Kim
Composing Distributed Computations Through Task and Kernel Fusion
Rohan Yadav, Shiv Sundrum, Wonchan Lee, Michael Garland, Michael Bauer, Alex Aiken, Fredrik Kjolstad
Automatic Tracing in Task-Based Runtime Systems
Rohan Yadav, Michael Bauer, David Broman, Michael Garland, Alex Aiken, Fredrik Kjolstad
Pushing the Limits? Frame Rate Benefits to Players for up to 500 Hz in First Person Shooter Games
Samin Shahriar Tokey, Ben Boudaoud, Joohwan Kim, Josef Spjut, Mark Claypool
Cosmos Transfer 1: World-to-World Transfer with Adaptive Multi-Control for Physical AI
Ming-Yu Liu
Cosmos-Reason 1: From Physical AI Common Sense to Embodied Decisions
Tsung-Yi Lin, Ming-Yu Liu
NVIDIA Isaac GR00T N1: An Open Foundation Model for Humanoid Robots
Yuke Zhu, Linxi "Jim" Fan, NVIDIA GEAR Team
Multi-student Diffusion Distillation for Better One-step Generators
Yanke Song, Jonathan Lorraine, Weili Nie, Karsten Kreis
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models
Zhengyi Wang, Jonathan Lorraine, Yikai Wang, Hang Su, Jun Zhu, Sanja Fidler, Xiaohui Zeng
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
CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models
Kuan-Hung Liu, Cheng-Kun Yang, Min-Hung Chen, Yu-Lun Liu, Yen-Yu Lin
Principles and guidelines for evaluating social robot navigation algorithms
Anthony Francis*, Claudia Pérez D’Arpino*, CHENGSHU LI, FEI XIA, ALEXANDRE ALAHI, RACHID ALAMI, ANIKET BERA, ABHIJAT BISWAS, JOYDEEP BISWAS, ROHAN CHANDRA, HAO-TIEN LEWIS CHIANG, MICHAEL EVERETT, SEHOON HA, JUSTIN HART, JONATHAN P. HOW, HARESH KARNAN, TSANG-WEI EDWARD LEE, LUIS J. MANSO, REUTH MIRSKY, SÖREN PIRK, PHANI TEJA SINGAMANENI, PETER STONE, ADA V. TAYLOR, PETER TRAUTMAN, NATHAN TSOI, MARYNEL VÁZQUEZ, XUESU XIAO, PENG XU, NAOKI YOKOYAMA, ALEXANDER TOSHEV, ROBERTO MARTÍN-MARTÍN
eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation
Tomas Krilavičius, Lucio Tommaso De Paolis, Valerio De Luca, Josef Spjut
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
Truncated Consistency Models
Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie
Proteina: Scaling Flow-based Protein Structure Generative Models
Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis