CZ
C. Lawrence Zitnick
cs.CVcs.LGcs.AIcond-mat.mtrl-scics.CLphysics.chem-phphysics.comp-phstat.MLeess.IVcs.CE
On Valency
published · living versionsW_5352xgra·v1 · currentpublished
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
with Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell +22
1 version
W_qspcx4nn·v2published
Preprints & journals
65 papers in the corpus · 2008–2026Quantum-accurate atomistic modeling of enzyme catalysis using a machine learned potential2609.09293v2 · Meng Gao, Armin Shayesteh Zadeh, Aniruddha Seal et al.2026 · 0 citationsarXivon Valency
The Open Materials 2024 (OMat24) inorganic materials dataset and models.42230827 · Barros-Luque, Luis, Shuaibi, Muhammed, Fu, Xiang et al.2026 · 21 citationsNature computational science. 2026;6(6):642-652
Open Molecular Crystals 2025 (OMC25) dataset and models.41639080 · Gharakhanyan, Vahe, Barroso-Luque, Luis, Yang, Yi et al.2026 · 20 citationsScientific data. 2026;13(1)
The Open Polymers 2026 (OPoly26) Dataset and Evaluations2512.23117v2 · Daniel S. Levine, Nicholas Liesen, Lauren Chua et al.2025 · 2 citationsarXiv
Insights into CO dimerization at electrified Cu interfaces from large-scale machine learning simulations2509.17862v2 · Sushree Jagriti Sahoo, Mikael Maraschin, Joel B Varley et al.2025 · 10 citationsarXiv
The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture2508.03162v2 · Anuroop Sriram, Logan M. Brabson, Xiaohan Yu et al.2025 · 7 citationsarXiv
FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms2508.02641v2 · Vahe Gharakhanyan, Yi Yang, Luis Barroso-Luque et al.2025 · 3 citationsarXiv
UMA: A Family of Universal Models for Atoms2506.23971v2 · Brandon M. Wood, Misko Dzamba, Xiang Fu et al.2025 · 86 citationsarXiv
The Open Molecules 2025 (OMol25) Dataset, Evaluations, and Models2505.08762v2 · Daniel S. Levine, Muhammed Shuaibi, Evan Walter Clark Spotte-Smith et al.2025 · 80 citationsarXiv
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction2502.12147v2 · Xiang Fu, Brandon M. Wood, Luis Barroso-Luque et al.2025 · 33 citationsarXiv
Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models2411.11783v1 · Jehad Abed, Jiheon Kim, Muhammed Shuaibi et al.2024 · 19 citationsarXiv
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models2410.12771v2 · Luis Barroso-Luque, Muhammed Shuaibi, Xiang Fu et al.2024 · 97 citationsarXiv
CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks2405.02078v3 · Brook Wander, Muhammed Shuaibi, John R. Kitchin et al.2024 · 47 citationsarXiv
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text2402.04379v2 · Nate Gruver, Anuroop Sriram, Andrea Madotto et al.2024 · 31 citationsarXiv
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction2310.16802v2 · Nima Shoghi, Adeesh Kolluru, John R. Kitchin et al.2023 · 23 citationsarXiv
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs2302.03655v2 · Saro Passaro, C. Lawrence Zitnick2023 · 24 citationsarXiv
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.36648347 · Johnson, Patricia M, Lin, Dana J, Zbontar, Jure et al.2023 · 124 citationsRadiology. 2023;307(2):e220425
AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials2211.16486v3 · Janice Lan, Aini Palizhati, Muhammed Shuaibi et al.2022 · 123 citationsarXiv
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts2206.08917v3 · Richard Tran, Janice Lan, Muhammed Shuaibi et al.2022 · 327 citationsarXiv
Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst Discovery2206.02005v2 · Adeesh Kolluru, Muhammed Shuaibi, Aini Palizhati et al.2022 · 73 citationsarXiv
Transfer learning using attentions across atomic systems with graph neural networks (TAAG).35568535 · Kolluru, Adeesh, Shoghi, Nima, Shuaibi, Muhammed et al.2022 · 35 citationsThe Journal of chemical physics. 2022;156(18):184702
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets2204.02782v3 · Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram et al.2022 · 50 citationsarXiv
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations2203.09697v1 · Anuroop Sriram, Abhishek Das, Brandon M. Wood et al.2022 · 10 citationsarXiv
Compositional Transformers for Scene Generation2111.08960v1 · Drew A. Hudson, C. Lawrence Zitnick2021 · 20 citationsarXiv
Rotation Invariant Graph Neural Networks using Spin Convolutions2106.09575v1 · Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das et al.2021 · 44 citationsarXiv
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.33876751 · Rives, Alexander, Meier, Joshua, Sercu, Tom et al.2021 · 3,270 citationsProceedings of the National Academy of Sciences of the United States of America. 2021;118(15)
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations2103.01436v1 · Weihua Hu, Muhammed Shuaibi, Abhishek Das et al.2021 · 27 citationsarXiv
Generative Adversarial Transformers2103.01209v4 · Drew A. Hudson, C. Lawrence Zitnick2021 · 99 citationsarXiv
Creative Sketch Generation2011.10039v2 · Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick et al.2020 · 33 citationsarXiv
The Open Catalyst 2020 (OC20) Dataset and Community Challenges2010.09990v5 · Lowik Chanussot, Abhishek Das, Siddharth Goyal et al.2020 · 770 citationsarXiv
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage2010.09435v1 · C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das et al.2020 · 49 citationsarXiv
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.32755163 · Recht, Michael P, Zbontar, Jure, Sodickson, Daniel K et al.2021 · 177 citationsAJR. American journal of roentgenology. 2020;215(6):1421-1429
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.32506658 · Knoll, Florian, Murrell, Tullie, Sriram, Anuroop et al.2021 · 264 citationsMagnetic resonance in medicine. 2020;84(6):3054-3070
Exploring Crowd Co-creation Scenarios for Sketches2005.07328v2 · Devi Parikh, C. Lawrence Zitnick2020 · 4 citationsarXiv
End-to-End Variational Networks for Accelerated MRI Reconstruction2004.06688v2 · Anuroop Sriram, Jure Zbontar, Tullie Murrell et al.2020 · 343 citationsarXiv
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.32076662 · Knoll, Florian, Zbontar, Jure, Sriram, Anuroop et al.2021 · 416 citationsRadiology. Artificial intelligence. 2020;2(1):e190007
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction1910.12325v4 · Anuroop Sriram, Jure Zbontar, Tullie Murrell et al.2019 · 119 citationsarXiv
Why Build an Assistant in Minecraft?1907.09273v2 · Arthur Szlam, Jonathan Gray, Kavya Srinet et al.2019 · 10 citationsarXiv
CraftAssist: A Framework for Dialogue-enabled Interactive Agents1907.08584v1 · Jonathan Gray, Kavya Srinet, Yacine Jernite et al.2019 · 23 citationsarXiv
ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero1902.04522v5 · Yuandong Tian, Jerry Ma, Qucheng Gong et al.2019 · 76 citationsarXiv
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI1811.08839v2 · Jure Zbontar, Florian Knoll, Anuroop Sriram et al.2018 · 587 citationsarXivon Valency
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games1707.01067v2 · Yuandong Tian, Qucheng Gong, Wenling Shang et al.2017 · 107 citationsarXiv
Inferring and Executing Programs for Visual Reasoning1705.03633v1 · Justin Johnson, Bharath Hariharan, Laurens van der Maaten et al.2017 · 473 citationsarXiv
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning1612.06890v1 · Justin Johnson, Bharath Hariharan, Laurens van der Maaten et al.2016 · 1,815 citationsarXiv
Measuring Machine Intelligence Through Visual Question Answering1608.08716v1 · C. Lawrence Zitnick, Aishwarya Agrawal, Stanislaw Antol et al.2016 · 29 citationsarXiv
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?1606.03556v2 · Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick et al.2016 · 430 citationsarXiv
Visual Storytelling1604.03968v1 · Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh et al.2016 · 89 citationsarXiv
Adopting Abstract Images for Semantic Scene Understanding.26959669 · Zitnick, C Lawrence, Vedantam, Ramakrishna, Parikh, Devi2016 · 74 citationsIEEE transactions on pattern analysis and machine intelligence. 2016;38(4):627-38
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification1603.08561v2 · Ishan Misra, C. Lawrence Zitnick, Martial Hebert2016 · 778 citationsarXiv
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels1512.06974v2 · Ishan Misra, C. Lawrence Zitnick, Margaret Mitchell et al.2015 · 205 citationsarXiv
Career total: 197 works. 65 are in this corpus.Showing the 50 most recent.
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