Publications | Research

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPS

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization

Siyi Gu, Minkai Xu, Alexander Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon

NeurIPS

Molecule Generation with Fragment Retrieval Augmentation

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

NeurIPS

L4GM: Large 4D Gaussian Reconstruction Model

Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling

NeurIPS

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola Kovachki, Arash Vahdat

NeurIPS

FactorSim: Generative Simulation via Factorized Representation

Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber

NeurIPS

Diffusion-Reward Adversarial Imitation Learning

Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Frank Wang, Min-Hung Chen, Shao-Hua Sun

NeurIPS

Fast Encoder-Based 3D from Casual Videos via Point Track Processing

Yoni Kasten, Wuyue Lu, Haggai Maron

NeurIPS

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

Yuchen Hu, Chen Chen, Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang

NeurIPS

2023

Point-Cloud Completion with Pretrained Text-to-image Diffusion Models

Yoni Kasten, Ohad Rahamim, Gal Chechik

NeurIPS

Convolutional State Space Models for Long-Range Spatiotemporal Modeling

Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott Linderman, Wonmin Byeon

NeurIPS

Generalizable One-shot 3D Neural Head Avatar

Xueting Li, Shalini De Mello, Sifei Liu, Koki Nagano, Umar Iqbal, Jan Kautz

NeurIPS

SceneScape: Text-Driven Consistent Scene Generation

Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel

NeurIPS

HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

Chen Chen, YuChen Hu, Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng

NeurIPS

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction

Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar

NeurIPS

Syntactic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik

NeurIPS

Oral presentation

Norm-guided latent space exploration for text-to-image generation

Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

NeurIPS

trajdata: A Unified Interface to Multiple Human Trajectory Datasets

Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone

NeurIPS

Train Hard, Fight Easy: Robust Meta Reinforcement Learning

Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom

NeurIPS

2022

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression

Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan

NeurIPS

Spotlight Paper

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design

Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Mark Haoxing Ren