Schniter, Philip

12 publications

TMLR 2025 Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Jeffrey Wen, Rizwan Ahmad, Philip Schniter

TMLR 2025 Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems Jeffrey Wen, Rizwan Ahmad, Philip Schniter

TMLR 2025 Solving Inverse Problems Using Diffusion with Iterative Colored Renoising Matthew C Bendel, Saurav K Shastri, Rizwan Ahmad, Philip Schniter

NeurIPS 2024 pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew C. Bendel, Rizwan Ahmad, Philip Schniter

ICML 2023 A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging Jeffrey Wen, Rizwan Ahmad, Philip Schniter

NeurIPS 2023 A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems Matthew Bendel, Rizwan Ahmad, Philip Schniter

NeurIPSW 2023 Mask-Agnostic Posterior Sampling MRI via Conditional GANs with Guided Reconstruction Matthew Bendel, Rizwan Ahmad, Philip Schniter

NeurIPSW 2023 Phase Retrieval via Deep Expectation-Consistent Approximation Saurav K Shastri, Philip Schniter

NeurIPSW 2021 Matching Plug-and-Play Algorithms to the Denoiser Saurav K Shastri, Rizwan Ahmad, Christopher Metzler, Philip Schniter

NeurIPS 2020 Matrix Inference and Estimation in Multi-Layer Models Parthe Pandit, Mojtaba Sahraee Ardakan, Sundeep Rangan, Philip Schniter, Alyson K. Fletcher

NeurIPS 2018 Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan, Subrata Sarkar, Philip Schniter

NeurIPS 2017 Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems Alyson K. Fletcher, Mojtaba Sahraee-Ardakan, Sundeep Rangan, Philip Schniter