SLA Violation Prediction In Cloud Computing: A Machine Learning Perspective. - Reyhane Askari Hemmat; Abdelhakim Hafid (CoRR, 2016)

Negative Momentum for Improved Game Dynamics. - Gauthier Gidel; Reyhane Askari Hemmat; Mohammad Pezeshki; Rémi Le Priol; Gabriel Huang; Simon Lacoste-Julien; Ioannis Mitliagkas (AISTATS, 2019)

LEAD: Least-Action Dynamics for Min-Max Optimization. - Reyhane Askari Hemmat; Amartya Mitra; Guillaume Lajoie; Ioannis Mitliagkas (CoRR, 2020)

QReg: On Regularization Effects of Quantization. - MohammadHossein AskariHemmat; Reyhane Askari Hemmat; Alexander Hoffman; Ivan Lazarevich; Ehsan Saboori; Olivier Mastropietro; Yvon Savaria; Jean-Pierre David (CoRR, 2022)

LEAD: Min-Max Optimization from a Physical Perspective. - Reyhane Askari Hemmat; Amartya Mitra; Guillaume Lajoie; Ioannis Mitliagkas (Trans. Mach. Learn. Res., 2023)

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance. - Reyhane Askari Hemmat; Melissa Hall; Alicia Sun; Candace Ross; Michal Drozdzal; Adriana Romero-Soriano (ECCV (87), 2024)

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada Ifriqi; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (NeurIPS, 2024)

QGen: On the Ability to Generalize in Quantization Aware Training. - MohammadHossein AskariHemmat; Ahmadreza Jeddi; Reyhane Askari Hemmat; Ivan Lazarevich; Alexander Hoffman; Sudhakar Sah; Ehsan Saboori; Yvon Savaria; Jean-Pierre David (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

Feedback-guided Data Synthesis for Imbalanced Classification. - Reyhane Askari Hemmat; Mohammad Pezeshki; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano (Trans. Mach. Learn. Res., 2024)

Improving the Scaling Laws of Synthetic Data with Deliberate Practice. - Reyhane Askari Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Multi-Modal Language Models as Text-to-Image Model Evaluators. - Jiahui Chen; Candace Ross; Reyhane Askari Hemmat; Koustuv Sinha; Melissa Hall; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Increasing the Utility of Synthetic Images through Chamfer Guidance. - Nicola Dall'Asen; Xiaofeng Zhang; Reyhane Askari Hemmat; Melissa Hall; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 2025)

Improving the Physics of Video Generation with VJEPA-2 Reward Signal. - Jianhao Yuan; Xiaofeng Zhang; Felix Friedrich; Nicolas Beltran-Velez; Melissa Hall; Reyhane Askari Hemmat; Xiaochuang Han; Nicolas Ballas; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)