Matthew J. Muckley
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
8
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DCC | Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. | Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich |
| 2025 | DCC | Architecture Optimizations for Improving Neural Image Compression Compute Complexity. | Matthew J. Muckley, Marton Havasi, Jakob Verbeek, Karen Ullrich |
| 2025 | ICCV | DIMCIM: A Quantitative Evaluation Framework for Default-Mode Diversity and Generalization in Text-to-Image Generative Models. | Revant Teotia, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, Matthew J. Muckley |
| 2025 | ICLR | Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles. | Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J. Muckley, Karen Ullrich |
| 2025 | ICLR | Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks. | Thophane Vallaeys, Matthew J. Muckley, Jakob Verbeek, Matthijs Douze |
| 2024 | ICLR | Towards image compression with perfect realism at ultra-low bitrates. | Marlne Careil, Matthew J. Muckley, Jakob Verbeek, Stphane Lathuilire |
| 2024 | ICML | Residual Quantization with Implicit Neural Codebooks. | Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek |
| 2023 | ICML | Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. | Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herv Jgou, Jakob Verbeek |
| 2021 | MICCAI | Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. | 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 Schlke, 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 |
| 2019 | CVPR | Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. | Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal |
| 2019 | MICCAI | Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. | Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll |
| 2018 | ICASSP | Variational Deep Learning for Low-Dose Computed Tomography. | Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo |
| 2014 | ICIP | Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage. | Matthew J. Muckley, Jeffrey A. Fessler |