Oscar Leong

According to our database, Oscar Leong authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Optimal Regularization for a Data Source.

Oscar Leong, Eliza O'Reilly, Yong Sheng Soh, Venkat Chandrasekaran

Found. Comput. Math., April, 2026

REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge.

Yasi Zhang, Tianyu Chen, Mingyuan Zhou, Oscar Leong, Ying Nian Wu, Michal Lukasik

CoRR, March, 2026

What Makes a Good Example? Modeling Exemplar Selection with Neural Network Representations.

Fanxiao Wani Qiu, Oscar Leong, Alexander LaTourrette

CoRR, February, 2026

Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks.

Fanxiao Wani Qiu, Oscar Leong

CoRR, February, 2026

Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data.

Willem Diepeveen, Oscar Leong

CoRR, January, 2026

2025

Learning Regularization Functionals for Inverse Problems: A Comparative Study.

Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer

CoRR, October, 2025

A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm.

Oscar Leong, Yann Traonmilin

CoRR, September, 2025

EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing.

Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou

CoRR, September, 2025

Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation.

Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong

CoRR, May, 2025

Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation.

Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou

CoRR, March, 2025

Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees.

Yasi Zhang, Oscar Leong

CoRR, February, 2025

2024

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching.

Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong

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

The Star Geometry of Critic-Based Regularizer Learning.

Oscar Leong, Eliza O'Reilly, Yong Sheng Soh

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

Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction.

Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Discovering Structure From Corruption for Unsupervised Image Reconstruction.

Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2023

Ill-Posed Image Reconstruction Without an Image Prior.

Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman

CoRR, 2023

Image Reconstruction without Explicit Priors.

Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2023

Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval.

Rohun Agrawal, Oscar Leong

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration.

Paul Hand, Oscar Leong, Vladislav Voroninski

CoRR, 2020

Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors.

Paul Hand, Oscar Leong, Vladislav Voroninski

CoRR, 2020

Invertible generative models for inverse problems: mitigating representation error and dataset bias.

Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems.

Oscar Leong, Wesam Sakla

CoRR, 2019

2018

Phase Retrieval Under a Generative Prior.

Paul Hand, Oscar Leong, Vladislav Voroninski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018