Publications

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

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  • 131 results found

2024

ReMatching Dynamic Reconstruction Flow
Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon
Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Yu Xiang
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang, Caelan Garrett, Clemens Eppner, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Best Conference Paper Finalist
Best Student Paper Finalist
Learning Radio Environments by Differentiable Ray Tracing
Jakob Hoydis, Fayçal Aït Aoudia , Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan ten Brink
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
Ekta Prashnani, Koki Nagano, Shalini De Mello, David Luebke, Orazio Gallo
DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh , Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
Learning to Move Like Professional Counter-Strike Players
David Durst, F. Xie, V. Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, C. Taylor, G. Bernstein, S. Choudhury, P. Hanrahan,, Kayvon Fatahalian
Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR
Reinhard Wiesmayr, Sebastian Cammerer, Fayçal Aït Aoudia , Jakob Hoydis, Jakub Zakrzewski, Alexander Keller
Conformer without Convolutions
Matthijs Van keirsbilck, Alex Keller
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde, Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava, Stan Birchfield, Nikolai Smolyanskiy
LLM Pruning and Distillation in Practice: The Minitron Approach
Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah Brenowitz, Dale Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Mike Pritchard
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
Chia-Tung (Mark) Ho, Mark Haoxing Ren, Brucek Khailany
A Primer on Generative AI for Telecom: From Theory to Practice
Xingqin Lin, Lopamudra Kundu, Chris Dick, Maria Amparo Canaveras Galdon, Janaki Vamaraju, Swastika Dutta, Vinay Raman
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
Yuchen Hu, Chen Chen, Huck Yang, Ruizhe Li, Zhehuai Chen, Eng Siong Chng
Variable Frame Timing Affects Perception of Smoothness in First-Person Gaming
Devi Klein, Josef Spjut, Ben Boudaoud, Joohwan Kim
TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models
Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or
Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
Andi Gu, Hong-Ye Hu, Di Luo, Taylor Patti, Nicholas C. Rubin, Susanne F. Yelin
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-Yang Liu, Chien-Yi Wang, Hongxu Danny Yin, Pavlo Molchanov, Frank Wang, Kwang-Ting Cheng, Min-Hung Chen
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
Yilun Xu, Gabriele Corso, Tommi Jaakkola, Arash Vahdat, Karsten Kreis
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Danny Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger Roth
Studying Esports Competition: Piloting Methodology for User Studies During Tournaments
Arjun Madhusudan, Josef Spjut, Ben Boudaoud, Joohwan Kim, Benjamin Watson
On Smoothly Varying Frame Timing in First-Person Gaming
UC Santa Barbara and NVIDIA, Josef Spjut, Ben Boudaoud, Joohwan Kim
RVT-2: Learning Precise Manipulation from Few Examples
Ankit Goyal, Valts Blukis, Jie Xu, Yijie Guo, Yu-Wei Chao, Dieter Fox
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries
Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj Narang
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Breathing Life Into Sketches Using Text-to-Video Priors
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
Experimenting with Artificial Intelligence: Programming Pathfinding Algorithms in C++ with Unreal Engine 5
Deborah Yuen, Josef Spjut
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone