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

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2024

Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Frank Wang, Min-Hung Chen, Shao-Hua Sun
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting
Chen Tessler, Kelly Guo, Ofir Nabati, Gal Chechik, Jason Peng
DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
Chen-Chia Chang, Chia-Tung (Mark) Ho, Yaguang Li, Yiran Chen, Haoxing (Mark) Ren
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
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, Haoxing (Mark) Ren, Brucek Khailany
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
Yuchen Hu, Chen Chen, Huck Yang, Ruizhe Li, Zhehuai Chen, Eng Siong Chng
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
Large Language Model (LLM) for Standard Cell Layout Design Optimization
Chia-Tung (Mark) Ho, Haoxing (Mark) Ren
Best Paper Award
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis
Nemotron-4 340B
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
YuChen Hu, Chen Chen, Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng, Huck Yang
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik