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Oscar Leong
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2020 – today
- 2026
[j2]Oscar Leong, Eliza O'Reilly, Yong Sheng Soh, Venkat Chandrasekaran:
Optimal Regularization for a Data Source. Found. Comput. Math. 26(2): 889-938 (2026)
[i20]Willem Diepeveen, Oscar Leong:
Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data. CoRR abs/2601.18728 (2026)
[i19]Fanxiao Wani Qiu, Oscar Leong:
Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks. CoRR abs/2602.03124 (2026)
[i18]Fanxiao Wani Qiu, Oscar Leong, Alexander LaTourrette:
What Makes a Good Example? Modeling Exemplar Selection with Neural Network Representations. CoRR abs/2602.03144 (2026)
[i17]Yasi Zhang, Tianyu Chen, Mingyuan Zhou, Oscar Leong, Ying Nian Wu, Michal Lukasik:
REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge. CoRR abs/2603.17145 (2026)- 2025
[i16]Yasi Zhang, Oscar Leong:
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees. CoRR abs/2502.00240 (2025)
[i15]Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou:
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation. CoRR abs/2503.07578 (2025)
[i14]Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong:
Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation. CoRR abs/2505.13377 (2025)
[i13]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:
EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR abs/2509.13399 (2025)
[i12]Oscar Leong, Yann Traonmilin:
A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm. CoRR abs/2509.20511 (2025)
[i11]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:
Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR abs/2510.01755 (2025)- 2024
[c7]Sreemanti Dey, Snigdha Saha
, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman:
Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction. ICASSP 2024: 2470-2474
[c6]Oscar Leong, Eliza O'Reilly, Yong Sheng Soh:
The Star Geometry of Critic-Based Regularizer Learning. NeurIPS 2024
[c5]Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong:
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. NeurIPS 2024
[i10]Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang
, Katherine L. Bouman:
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction. CoRR abs/2404.00471 (2024)
[i9]Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong:
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. CoRR abs/2405.18816 (2024)
[i8]Oscar Leong, Eliza O'Reilly, Yong Sheng Soh:
The Star Geometry of Critic-Based Regularizer Learning. CoRR abs/2408.16852 (2024)- 2023
[j1]Oscar Leong
, Angela F. Gao
, He Sun
, Katherine L. Bouman
:
Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging 9: 992-1005 (2023)
[c4]Rohun Agrawal, Oscar Leong:
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. ICASSP 2023: 1-5
[c3]Angela F. Gao, Oscar Leong, He Sun
, Katherine L. Bouman:
Image Reconstruction without Explicit Priors. ICASSP 2023: 1-5
[i7]Angela F. Gao, Oscar Leong, He Sun
, Katherine L. Bouman:
Image Reconstruction without Explicit Priors. CoRR abs/2303.12217 (2023)
[i6]Oscar Leong, Angela F. Gao, He Sun
, Katherine L. Bouman:
Ill-Posed Image Reconstruction Without an Image Prior. CoRR abs/2304.05589 (2023)- 2022
[i5]Rohun Agrawal, Oscar Leong:
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. CoRR abs/2211.00884 (2022)- 2020
[c2]Muhammad Asim, Max Daniels, Oscar Leong, Ali Ahmed, Paul Hand:
Invertible generative models for inverse problems: mitigating representation error and dataset bias. ICML 2020: 399-409
[i4]Paul Hand, Oscar Leong, Vladislav Voroninski:
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors. CoRR abs/2008.10579 (2020)
[i3]Paul Hand, Oscar Leong, Vladislav Voroninski:
Optimal Sample Complexity of Gradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration. CoRR abs/2011.00288 (2020)
2010 – 2019
- 2019
[i2]Oscar Leong, Wesam Sakla:
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems. CoRR abs/1910.10797 (2019)- 2018
[c1]Paul Hand, Oscar Leong, Vladislav Voroninski:
Phase Retrieval Under a Generative Prior. NeurIPS 2018: 9154-9164
[i1]Paul Hand, Oscar Leong, Vladislav Voroninski:
Phase Retrieval Under a Generative Prior. CoRR abs/1807.04261 (2018)
Coauthor Index

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last updated on 2026-05-14 23:28 CEST by the dblp team
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