Ben-Nun, Tal

7 publications

NeurIPS 2025 BOOM: Benchmarking Out-of-Distribution Molecular Property Predictions of Machine Learning Models Evan R Antoniuk, Shehtab Zaman, Tal Ben-Nun, Peggy Li, James Diffenderfer, Busra Sahin, Obadiah Hersh Smolenski, Everett Grethel, Tim Hsu, Anna Hiszpanski, Kenneth Chiu, Bhavya Kailkhura, Brian Van Essen

NeurIPS 2025 Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura

DMLR 2024 ComPile: A Large IR Dataset from Production Sources Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose M Monsalve Diaz, Mircea Trofin, Johannes Doerfert

NeurIPS 2022 ENS-10: A Dataset for Post-Processing Ensemble Weather Forecasts Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler

ICML 2021 ProGraML: A Graph-Based Program Representation for Data Flow Analysis and Compiler Optimizations Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F P O’Boyle, Hugh Leather

JMLR 2021 Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste

NeurIPS 2018 Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler