Anuroop Sriram

According to our database, Anuroop Sriram authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distribution Learning for Molecular Regression.

Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek Das

CoRR, 2024

FlowMM: Generating Materials with Riemannian Flow Matching.

Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture.

Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl

CoRR, 2023

2022

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

Trans. Mach. Learn. Res., 2022

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis.

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

CoRR, 2022

How Do Graph Networks Generalize to Large and Diverse Molecular Systems?

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das

CoRR, 2022

Spherical Channels for Modeling Atomic Interactions.

Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wav2Vec-Aug: Improved self-supervised training with limited data.

Anuroop Sriram, Michael Auli, Alexei Baevski

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.

Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.

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

IEEE Trans. Medical Imaging, 2021

Rotation Invariant Graph Neural Networks using Spin Convolutions.

Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.

Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick

CoRR, 2021

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.

Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore

CoRR, 2021

The Open Catalyst Challenge 2021: Competition Report.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.

Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.

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

CoRR, 2020

The Open Catalyst 2020 (OC20) Dataset and Community Challenges.

Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2020

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.

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

CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.

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

CoRR, 2020

End-to-End Variational Networks for Accelerated MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MLS: A Large-Scale Multilingual Dataset for Speech Research.

Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.

Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures.

Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2019

RNN-T For Latency Controlled ASR With Improved Beam Search.

Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer

CoRR, 2019

2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

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

CoRR, 2018

Cold Fusion: Training Seq2Seq Models Together with Language Models.

Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Robust Speech Recognition Using Generative Adversarial Networks.

Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Reducing Bias in Production Speech Models.

Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl, Atul Kumar, Hairong Liu, Vinay Rao, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu

CoRR, 2017

Exploring neural transducers for end-to-end speech recognition.

Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017