Matthew J. Muckley

40 papers A* 7B 3Misc 1Journal 26Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.
CoRR
Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes
2025 B conf
Architecture Optimizations for Improving Neural Image Compression Compute Complexity.
DCC
Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich
2025 J jnl
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models.
CoRR
Revant Teotia, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, Matthew J. Muckley
2025 B conf
Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression.
DCC
Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich
2025 A* conf
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
ICLR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2025 J jnl
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search.
CoRR
Daniel Severo, Giuseppe Ottaviano, Matthew J. Muckley, Karen Ullrich, Matthijs Douze
2025 A* conf
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks.
ICLR
Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze
2025 J jnl
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks.
CoRR
Théophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze
2025 J jnl
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.
CoRR
Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2024 J jnl
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning.
CoRR
Théo Moutakanni, Piotr Bojanowski, Guillaume Chassagnon, Céline Hudelot, Armand Joulin, Yann LeCun, Matthew J. Muckley, Maxime Oquab, Marie-Pierre Revel, Maria Vakalopoulou
2024 J jnl
Consistency-diversity-realism Pareto fronts of conditional image generative models.
CoRR
Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
2024 J jnl
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles.
CoRR
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2024 J jnl
On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models.
CoRR
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
2024 A* conf
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models.
NeurIPS
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
2024 A* conf
Residual Quantization with Implicit Neural Codebooks.
ICML
Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2024 J jnl
Residual Quantization with Implicit Neural Codebooks.
CoRR
Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
2024 A* conf
Towards image compression with perfect realism at ultra-low bitrates.
ICLR
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
2024 J jnl
Training-free linear image inverses via flows.
Trans. Mach. Learn. Res.
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
2024 J jnl
Understanding and Mitigating Tokenization Bias in Language Models.
CoRR
Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich
2023 J jnl
Image Compression with Product Quantized Masked Image Modeling.
Trans. Mach. Learn. Res.
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2023 A* conf
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
ICML
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2023 J jnl
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
CoRR
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
2023 J jnl
Towards image compression with perfect realism at ultra-low bitrates.
CoRR
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
2023 J jnl
Training-free Linear Image Inversion via Flows.
CoRR
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
2022 J jnl
Image Compression with Product Quantized Masked Image Modeling.
CoRR
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
2022 J jnl
Latent Discretization for Continuous-time Sequence Compression.
CoRR
Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich
2022 — conf
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
MIDL
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2022 J jnl
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
CoRR
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2021 J jnl
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2021 — conf
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
MLMIR@MICCAI
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
2021 J jnl
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2020 J jnl
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
2020 J jnl
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2019 — conf
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
MLMIR@MICCAI
Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
2019 A* conf
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.
CVPR
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2019 J jnl
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition.
CoRR
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
2018 Misc conf
Variational Deep Learning for Low-Dose Computed Tomography.
ICASSP
Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2018 J jnl
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
2015 J jnl
Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA).
IEEE Trans. Medical Imaging
Matthew J. Muckley, Douglas C. Noll, Jeffrey A. Fessler
2014 B conf
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage.
ICIP
Matthew J. Muckley, Jeffrey A. Fessler