Publications | Research

47 results found
Artificial Intelligence and Machine Learning

Clear all

2026

GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers

Zoey Song, Steve Dai, Ben Keller, Brucek Khailany

ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling

Test-Time Alignment for Large Language Models via Textual Model Predictive Control

Kuang-Da Wang, Teng-Ruei Chen, Yu Heng Hung, Guo-Xun Ko, Shuoyang Ding, Frank Wang, Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh

ICLR

3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds

Fan-Yun Sun, Shengguang Wu, Christian Jacobsen, Thomas Yim, Haoming Zou, Alex Zook, Shangru Li, Yu-Hsin Chou, Ethem Can, Xunlei Wu, Clemens Eppner, Valts Blukis, Jonathan Tremblay, Jiajun Wu, Stan Birchfield, Nick Haber

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding

Talor Abramovich, Maor Ashkenazi, Carl Putterman, Benjamin Chislett, Tiyasa Mitra, Bita Darvish Rouhani, Ran Zilberstein, Yonatan Geifman

Alpha-Vision: A Real-Time Always-on Vision Processor with 787µs Face Detection Latency in <5mW

Ben Keller, Rangharajan Venkatesan, Steve Dai, Jason Clemons, Matt Fojtik, Muya Chang, Thierry Tambe, Nathaniel Pinckney, Stephen Tell, Qijing Jenny Huang, Shalini De Mello, Brucek Khailany

Learning Accurate Storm-Scale Evolution from Observations

Jaideep Pathak, Mohammad Shoaib Abbas, Peter Harrington, Zeyuan Hu, Noah Brenowitz, Suman Ravuri, Alberto Carpentieri, Jussi Leinonen, Corey Adams, Oliver Hennigh, Nicholas Geneva, Dale Durran, Mike Pritchard

HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts

Aayush Gupta, Akshay Subramaniam, Michael S. Pritchard, Karthik Kashinath, Sergey Frolov, Kelsey Lieberman, Christopher Miller, Nicholas Silverman, Noah D. Brenowitz

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting

Jean Kossaifi, Nikola Kovachki, Morteza Mardani, Daniel Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale Durran, Arash Vahdat, Mike Pritchard, Jan Kautz

2018

Learning towards Minimum Hyperspherical Energy

Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson

Exascale Deep Learning for Climate Analytics

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

RouteNet: Routability Prediction for Mixed-size Designs using Convolutional Neural Network

Zhiyao Xie, Yu-Hung Huang, Guan-Qi Fang, Mark Haoxing Ren, Shao-Yun Fang, Yiran Chen, Hu Jiang

Hand Pose Estimation via Latent 2.5 D Heatmap Regression

Umar Iqbal, Pavlo Molchanov, Thomas Breuel, Juergen Gall, Jan Kautz

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, Jan Kautz

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg, Jan Kautz

Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang

Image Inpainting for Irregular Holes Using Partial Convolutions

Guilin Liu, Fitsum A. Reda, Kevin Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro