Publications | Research

2026

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

CORL

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

SIGGRAPH

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

NeurIPS

Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting

Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

NeurIPS

Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis

NeurIPS

Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training

Shuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Garrett, Danfei Xu

NeurIPS

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen, Frank Wang, Fred Yang

NeurIPS

RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion

Bardienus P. Duisterhof, Jan Oberst, Bowen Wen, Stan Birchfield, Deva Ramanan, Jeffrey Ichnowski

NeurIPS

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris, Alberto Carpentieri, Thorsten Kurth

NeurIPS

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

NeurIPS

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