Publications

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

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2026

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
Jean Kossaifi, Nikola Kovachki, Morteza Mardani, Daniel Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale Durran, Arash Vahdat, Mike Pritchard, Jan Kautz
Proteina-Complexa: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis
La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, Karsten Kreis, Arash Vahdat
Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Weili Nie, Arash Vahdat
Federated Learning in Healthcare: From Research to Real-World Deployment
Spyridon Bakas, Xiaoxiao Li, Prashant Shah, Holger Roth
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints
Nishanth Kumar, William Shen, Fabio Ramos, Dieter Fox, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Caelan Garrett

2025

AI-Native 6G: Empowering Intelligent RAN with Accelerated Compute
Sebastian Cammerer, Christoph Studer, Xingqin Lin, Lopamudra Kundu
GPU Accelerated High Capacity, AI-Ready 5G/6G Reference Design and Verification Methodology
Joseph Boccuzzi, Rohan Chavan, Ravi Lekhwani, Szming Lin, Michael Hoang, Nicholas Hedberg, Quanwei Wang, Sashidhar Samala, Paolo Marini, Sonali Sarpotdar, Martin Adamczyk
Play4D: Accelerated and Interactive Free-viewpoint Video Streaming for Virtual Reality and Light Field Displays
Jonghyun Kim, Michael Stengel, Amrita Mazumdar, Tianye Li, Cheng Sun, David Luebke, Shalini De Mello
CSI-Based User Positioning, Channel Charting, and Device Classification with an NVIDIA 5G Testbed
Reinhard Wiesmayr, Frederik Zumegen, Sueda Taner, Chris Dick, Christoph Studer
Beyond Behavior Cloning in Autonomous Driving: a Survey of Closed-Loop Training Techniques
Peter Karkus, Maximilian Igl, Yuxiao Chen, Kashyap Chitta, Jef Packer, Bertrand Douillard, Thomas Tian, Alexander Naumann, Guillermo Garcia-Cobo, Shuhan Tan, Alperen Degirmenci, Alexander Popov, Nikolai Smolyanskiy, Urs Muller, Boris Ivanovic, Marco Pavone
Policy Optimized Text-to-Image Pipeline Design
Uri Gadot, Rinon Gal, Yftah Zisser, Gal Chechik, Shie Mannor
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Shuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, Danfei Xu
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen, Frank Wang, Fred Yang
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Bardienus P. Duisterhof, Jan Oberst, Bowen Wen, Stan Birchfield, Deva Ramanan, Jeffrey Ichnowski
Attention on the Sphere
Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
Riccardo Corvi, Davide Cozzolino, Ekta Prashnani, Shalini De Mello, Koki Nagano, Luisa Verdoliva
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
Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image
Sapir Yflah, Yuval Atzmon, Gal Chechik
Alpamayo 1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
Marco Pavone, Many other contributors found on Page 33
Better Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations
Mauro Belgiovine, Chris Dick, Kaushik Chowdhury
The Reality Gap in Robotics: Challenges, Solutions, and Best Practices
Elie Aljalbout, Jiaxu Xing, Angel Romero, Iretiayo Akinola, Caelan Garrett, Eric Heiden, Abhishek Gupta, Tucker Hermans, Yashraj Narang, Dieter Fox, Davide Scaramuzza, Fabio Ramos
Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers
An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen
ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation
Krishnan Srinivasan, Jie Xu, Henry Ang, Eric Heiden, Dieter Fox, Jeannette Bohg, Animesh Garg
SALAD: Self-Adaptive Link Adaptation
Reinhard Wiesmayr, Lorenzo Maggi, Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia , Alex Keller
Pedestrian Collision Avoidance in Hemianopia during Natural Walking in Immersive Virtual Reality
Jonathan K. Doyon, Sujin Kim, Alex D. Hwang, Jae-Hyun Jung
NVIDIA AI Aerial: AI-Native Wireless Communications
Kobi Cohen-Arazi, Michael Roe, Zhen Hu, Rohan Chavan, Anna Ptasznik, Joanna Lin, Joao Morais, Joseph Boccuzzi, Tommaso Balercia
Lead Rush: A First-Person Shooter for User Studies and Understanding Effects of Frame Time Spikes
Samin Shahriar Tokey, Ben Boudaoud, Joohwan Kim, Josef Spjut, Peter Xenopoulos, Mark Claypool
Timing Matters: The Impact of Event-Specific Frametime Spikes in First-Person Shooter Games
Samin Shahriar Tokey, Ben Boudaoud, Joohwan Kim, Josef Spjut, Mark Claypool
Isaac Lab: A GPU Accelerated Simulation Framework For Multi-Modal Robot Learning
Mayank Mittal, Kelly Guo, Gavriel State, Spencer Huang