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Anuroop Sriram
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2020 – today
- 2024
- [c15]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 - [c14]Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood:
FlowMM: Generating Materials with Riemannian Flow Matching. ICML 2024 - [i28]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) - [i27]Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood:
FlowMM: Generating Materials with Riemannian Flow Matching. CoRR abs/2406.04713 (2024) - [i26]Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek Das:
Distribution Learning for Molecular Regression. CoRR abs/2407.20475 (2024) - 2023
- [i25]Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl:
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture. CoRR abs/2311.00341 (2023) - 2022
- [j2]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) - [c13]Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick:
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR 2022 - [c12]Anuroop Sriram, Michael Auli, Alexei Baevski:
Wav2Vec-Aug: Improved self-supervised training with limited data. INTERSPEECH 2022: 4950-4954 - [c11]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 - [i24]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) - [i23]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) - [i22]Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo
, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR abs/2206.08917 (2022) - [i21]Anuroop Sriram
Wav2Vec-Aug: Improved self-supervised training with limited data. CoRR abs/2206.13654 (2022) - [i20]C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram
Spherical Channels for Modeling Atomic Interactions. CoRR abs/2206.14331 (2022) - 2021
- [j1]Matthew J. Muckley
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40(9): 2306-2317 (2021) - [c10]Wei-Ning Hsu, Anuroop Sriram
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech 2021: 721-725 - [c9]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 - [i19]Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore:
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR abs/2101.04909 (2021) - [i18]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) - [i17]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR abs/2104.01027 (2021) - [i16]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) - 2020
- [c8]Anuroop Sriram
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR 2020: 14303-14310 - [c7]Vineel Pratap, Qiantong Xu, Anuroop Sriram
MLS: A Large-Scale Multilingual Dataset for Speech Research. INTERSPEECH 2020: 2757-2761 - [c6]Vineel Pratap, Anuroop Sriram
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH 2020: 4751-4755 - [c5]Anuroop Sriram
End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) 2020: 64-73 - [i15]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) - [i14]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) - [i13]Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR abs/2007.03001 (2020) - [i12]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) - [i11]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:
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR abs/2010.09990 (2020) - [i10]Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. CoRR abs/2012.03411 (2020) - [i9]Matthew J. Muckley, Bruno Riemenschneider
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR abs/2012.06318 (2020)
2010 – 2019
- 2019
- [i8]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. CoRR abs/1910.12325 (2019) - [i7]Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer:
RNN-T For Latency Controlled ASR With Improved Beam Search. CoRR abs/1911.01629 (2019) - [i6]Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR abs/1911.08460 (2019) - 2018
- [c4]Anuroop Sriram
Robust Speech Recognition Using Generative Adversarial Networks. ICASSP 2018: 5639-5643 - [c3]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold fusion: Training Seq2seq Models Together with Language Models. ICLR (Workshop) 2018 - [c2]Anuroop Sriram
Cold Fusion: Training Seq2Seq Models Together with Language Models. INTERSPEECH 2018: 387-391 - [i5]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:
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR abs/1811.08839 (2018) - 2017
- [c1]Eric Battenberg, Jitong Chen
Exploring neural transducers for end-to-end speech recognition. ASRU 2017: 206-213 - [i4]Eric Battenberg, Rewon Child, Adam Coates, Christopher Fougner, Yashesh Gaur, Jiaji Huang, Heewoo Jun, Ajay Kannan, Markus Kliegl
Reducing Bias in Production Speech Models. CoRR abs/1705.04400 (2017) - [i3]Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu:
Exploring Neural Transducers for End-to-End Speech Recognition. CoRR abs/1707.07413 (2017) - [i2]Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates:
Cold Fusion: Training Seq2Seq Models Together with Language Models. CoRR abs/1708.06426 (2017) - [i1]Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh:
Robust Speech Recognition Using Generative Adversarial Networks. CoRR abs/1711.01567 (2017)
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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