Publications

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

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2025

RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Bardienus P. Duisterhof, Jan Oberst, Bowen Wen, Stan Birchfield, Deva Ramanan, Jeffrey Ichnowski
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
Esports Rendering: Industry and Player Perspectives
Josef Spjut, Benjamin Watson
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
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss
Ziyi Zhang, Nicolas Roussel, Thomas Müller, Tizian Zeltner, Merlin Nimier-David, Fabrice Rousselle, Wenzel Jakob
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
GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
Georgia Tech, Ben Keller, Yingyan Celine Lin, Brucek Khailany
GEM: GPU-Accelerated Emulator-Inspired RTL Simulation
Zizheng Guo, Yanqing Zhang, Mark Haoxing Ren
Best Paper Award Nomination at DAC, 2025
Task-Based Tensor Computations on Modern GPUs
Rohan Yadav, Michael Garland, Alex Aiken, Michael Bauer
FoundationStereo: Zero-Shot Stereo Matching
Bowen Wen, Matthew Trepte, Joseph Aribido, Jan Kautz, Orazio Gallo, Stan Birchfield
Best Paper Nomination
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
A Generative AI Game Jam Case Study from October 2024
Josef Spjut
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
Adaptive Algebraic Reuse of Reordering in Cholesky Factorizations with Dynamic Sparsity Patterns
Behrooz Zarebavani, Danny Kaufman, David Levin, Maryam Mehri Dehnavi
RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics
Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield
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
Detection of artifacts in clean and corrupted video pairs is influenced by artifact type and presentation modality
Niall L. Williams, Anatolii Evdokimov, Budmonde Duinkharjav, Anjul Patney, Qi Sun, Jae-Hyun Jung, Ruth Rosenholtz