• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 140 matches

• 2024
• 
  Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi:
  Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. ICLR 2024
• 
  Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood:
  From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. ICLR 2024
• 
  Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi:
  Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR abs/2402.04379 (2024)
• 2023
• 
  Saro Passaro, C. Lawrence Zitnick:
  Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. ICML 2023: 27420-27438
• 
  Saro Passaro, C. Lawrence Zitnick:
  Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs. CoRR abs/2302.03655 (2023)
• 
  Nima Shoghi, Adeesh Kolluru, John R. Kitchin, Zachary W. Ulissi, C. Lawrence Zitnick, Brandon M. Wood:
  From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction. CoRR abs/2310.16802 (2023)
• 2022
• 
  Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das:
  GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. Trans. Mach. Learn. Res. 2022 (2022)
• 
  Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
  Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR 2022
• 
  Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood:
  Spherical Channels for Modeling Atomic Interactions. NeurIPS 2022
• 
  Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
  Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR abs/2203.09697 (2022)
• 
  Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das:
  How Do Graph Networks Generalize to Large and Diverse Molecular Systems? CoRR abs/2204.02782 (2022)
• 
  Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick:
  The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR abs/2206.08917 (2022)
• 
  C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood:
  Spherical Channels for Modeling Atomic Interactions. CoRR abs/2206.14331 (2022)
• 
  Janice Lan, Aini Palizhati, Muhammed Shuaibi, Brandon M. Wood, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi:
  AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. CoRR abs/2211.16486 (2022)
• 2021
• 
  Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
  Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021)
• 
  Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh:
  Creative Sketch Generation. ICLR 2021
• 
  Drew A. Hudson, Larry Zitnick:
  Generative Adversarial Transformers. ICML 2021: 4487-4499
• 
  Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev:
  The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 2021: 29-40
• 
  Dor Arad Hudson, Larry Zitnick:
  Compositional Transformers for Scene Generation. NeurIPS 2021: 9506-9520
• 
  Drew A. Hudson, C. Lawrence Zitnick:
  Generative Adversarial Transformers. CoRR abs/2103.01209 (2021)
• 
  Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick:
  ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR abs/2103.01436 (2021)
• 
  Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick:
  Rotation Invariant Graph Neural Networks using Spin Convolutions. CoRR abs/2106.09575 (2021)
• 
  Drew A. Hudson, C. Lawrence Zitnick:
  Compositional Transformers for Scene Generation. CoRR abs/2111.08960 (2021)
• 2020
• 
  Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson:
  GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR 2020: 14303-14310
• 
  Devi Parikh, C. Lawrence Zitnick:
  Exploring Crowd Co-creation Scenarios for Sketches. ICCC 2020: 73-76
• 
  Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson:
  End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) 2020: 64-73
• 
  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:
  Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR abs/2001.02518 (2020)
• 
  Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson:
  End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR abs/2004.06688 (2020)
• 
  Devi Parikh, C. Lawrence Zitnick:
  Exploring Crowd Co-creation Scenarios for Sketches. CoRR abs/2005.07328 (2020)
• 
  C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi:
  An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR abs/2010.09435 (2020)

skipping 110 more matches