Reyhane Askari Hemmat

According to our database, Reyhane Askari Hemmat authored at least 20 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Inference-time Physics Alignment of Video Generative Models with Latent World Models.

Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano

CoRR, January, 2026

Unified Text-Image Generation with Weakness-Targeted Post-Training.

Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han, Yushi Hu, Emily Dinan, Amita Kamath, Michal Drozdzal, Reyhane Askari Hemmat, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, January, 2026

2025

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image.

Yushi Hu, Reyhane Askari Hemmat, Melissa Hall, Emily Dinan, Luke Zettlemoyer, Marjan Ghazvininejad

CoRR, December, 2025

Why Less is More (Sometimes): A Theory of Data Curation.

Elvis Dohmatob, Mohammad Pezeshki, Reyhane Askari Hemmat

CoRR, November, 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, October, 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, May, 2025

Increasing the Utility of Synthetic Images through Chamfer Guidance.

Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob J. Verbeek, Adriana Romero-Soriano, Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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, Maeve Ryan, Mike Rabbat, Michal Drozdzal, Jakob Verbeek, Adriana Romero-Soriano

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

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, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

LEAD: Min-Max Optimization from a Physical Perspective.

Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas

Trans. Mach. Learn. Res., 2023

2022

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

2020

LEAD: Least-Action Dynamics for Min-Max Optimization.

Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas

CoRR, 2020

2019

Negative Momentum for Improved Game Dynamics.

Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rémi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2016

SLA Violation Prediction In Cloud Computing: A Machine Learning Perspective.

Reyhane Askari Hemmat, Abdelhakim Hafid

CoRR, 2016