Publications | Research

50 results found

Clear all

2026

2026

QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding

Shuxiang Cao, Zijian Zhang, Abhishek Agarwal, Grace Bratrud, Niyaz R. Beysengulov, Daniel C. Cole, Alejandro Gomez Frieiro, Elena O. Glen, Hao Hsu, Gang Huang, Raymond Jow, Greshma Shaji, Tom Lubowe, Ligeng Zhu, Luis Mantilla Calderon, Nicola Pancotti, Joel Pendleton, Brandon Severin, Charles Etienne Staub, Sara Sussman, Antti Vepsäläinen, Neel Rajeshbhai Vora, Yilun Xu, Varinia Bernales, Daniel Bowring, Elica Kyoseva, Ivan Rungger, Giulia Semeghini, Sam Stanwyck, Timothy Costa, Alán Aspuru-Guzik, Krysta Svore

Fast AI-Based Pre-Decoders for Surface Codes

Christopher Chamberland, Jan Olle, Muyuan Li, Scott Thornton, Igor Baratta

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

Hunting CUDA Bugs at Scale with cuFuzz

Mohamed Tarek Ibn Ziad, Christos Kozyrakis

SALAD: Self-Adaptive Link Adaptation

Reinhard Wiesmayr, Lorenzo Maggi, Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia , Alex Keller

CRoCoDiL: Continuous and Robust Conditioned Diffusion for Language

Roy Uziel, Omer Belhasin, Itay Levy, Akhiad Bercovich, Ran El-Yaniv, Ran Zilberstein, Michael Elad

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

Learn from Your Mistakes: Self-Correcting Masked Diffusion Models

Yair Schiff, Omer Belhasin, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Michael Elad, Volodymyr Kuleshov

iGRPO: Self-Feedback-Driven LLM Reasoning

Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman, Ximing Lu, Seungju Han, Wei Ping, Yejin Choi, Jan Kautz

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

Proteina-Complexa: Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute

Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis