Publications | Research

2025

Principles and guidelines for evaluating social robot navigation algorithms

Anthony Francis*, Claudia Pérez D’Arpino*, CHENGSHU LI, FEI XIA, ALEXANDRE ALAHI, RACHID ALAMI, ANIKET BERA, ABHIJAT BISWAS, JOYDEEP BISWAS, ROHAN CHANDRA, HAO-TIEN LEWIS CHIANG, MICHAEL EVERETT, SEHOON HA, JUSTIN HART, JONATHAN P. HOW, HARESH KARNAN, TSANG-WEI EDWARD LEE, LUIS J. MANSO, REUTH MIRSKY, SÖREN PIRK, PHANI TEJA SINGAMANENI, PETER STONE, ADA V. TAYLOR, PETER TRAUTMAN, NATHAN TSOI, MARYNEL VÁZQUEZ, XUESU XIAO, PENG XU, NAOKI YOKOYAMA, ALEXANDER TOSHEV, ROBERTO MARTÍN-MARTÍN

SoftTreeMax: Policy Gradient via tree expansion

Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik

ICML

eXtended Reality and Artificial Intelligence in Medicine and Rehabilitation

Tomas Krilavičius, Lucio Tommaso De Paolis, Valerio De Luca, Josef Spjut

scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation

Clemens Eppner, Adithya Murali, Caelan Garrett, Rowland O'Flaherty, Tucker Hermans, Wei Yang, Dieter Fox

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

ICLR

Truncated Consistency Models

Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

ICLR

Proteina: Scaling Flow-based Protein Structure Generative Models

Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis

ICLR

ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids

Hannes Stark, Bowen Jing, Tomas Geffner, Jason Yim, Tommi Jaakkola, Arash Vahdat, Karsten Kreis

ICLR

High-Precision Benchmarks for the Stochastic Rod

Eugene d'Eon, Anil Prinja

Directed Graph Generation with Heat Kernels

Marc T. Law, Karsten Kreis, Haggai Maron

Expressive quantum perceptrons for quantum neuromorphic computing

Rodrigo Araiza Bravo, Taylor Patti, Khadijeh Najafi, Xun Gao, Susanne F. Yelin

Towards large-scale quantum optimization solvers with few qubits

Marco Sciorilli, Lucas Borges, Taylor Patti, Diego Garcia-Martin, Giancarlo Camilo, Anima Anandkumar, Leandro Aolita

Cosmos World Foundation Model Platform for Physical AI

Ming-Yu Liu, Many other contributors at https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_4.pdf

TacSL: A Library for Visuotactile Sensor Simulation and Learning

Iretiayo Akinola, Jie Xu, Jan Carius, Dieter Fox, Yashraj Narang

2024

Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition

Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, yen-ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Shinji Watanabe, Andreas Stolcke

Pretraining codomain attention neural operators for solving multiphysics pdes

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