Anuroop Sriram

54 papers A* 9A 5C 1Misc 1Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. ICML Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M. Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025	J	`jnl`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. CoRR Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon M. Wood, Daniel LeVine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025	A*	`conf`	All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. ICML Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi
2025	J	`jnl`	All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. CoRR Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary W. Ulissi
2025	A*	`conf`	Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. ICLR Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2025	J	`jnl`	UMA: A Family of Universal Models for Atoms. CoRR Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Ammar Rizvi, Sushree Jagriti Sahoo, Zachary W. Ulissi, C. Lawrence Zitnick
2024	J	`jnl`	Distribution Learning for Molecular Regression. CoRR Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek Das
2024	A*	`conf`	Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. ICLR Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
2024	J	`jnl`	Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. CoRR Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, Zachary W. Ulissi
2024	J	`jnl`	Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. CoRR Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2024	A*	`conf`	FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions. NeurIPS Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood
2024	J	`jnl`	FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions. CoRR Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood
2024	A*	`conf`	FlowMM: Generating Materials with Riemannian Flow Matching. ICML Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood
2024	J	`jnl`	FlowMM: Generating Materials with Riemannian Flow Matching. CoRR Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M. Wood
2023	J	`jnl`	The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture. CoRR Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary W. Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl
2022	J	`jnl`	GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. Trans. Mach. Learn. Res. Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
2022	J	`jnl`	How Do Graph Networks Generalize to Large and Diverse Molecular Systems? CoRR Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
2022	A*	`conf`	Spherical Channels for Modeling Atomic Interactions. NeurIPS Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood
2022	J	`jnl`	Spherical Channels for Modeling Atomic Interactions. CoRR C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary W. Ulissi, Brandon M. Wood
2022	J	`jnl`	The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR 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
2022	A*	`conf`	Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. ICLR Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
2022	J	`jnl`	Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. CoRR Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
2022	A	`conf`	Wav2Vec-Aug: Improved self-supervised training with limited data. INTERSPEECH Anuroop Sriram, Michael Auli, Alexei Baevski
2022	J	`jnl`	Wav2Vec-Aug: Improved self-supervised training with limited data. CoRR Anuroop Sriram, Michael Auli, Alexei Baevski
2021	J	`jnl`	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2021	J	`jnl`	ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
2021	J	`jnl`	Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 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
2021	A	`conf`	Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2021	J	`jnl`	Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2021	J	`jnl`	Rotation Invariant Graph Neural Networks using Spin Convolutions. CoRR Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick
2021	—	`conf`	The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) 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
2020	J	`jnl`	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR 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
2020	J	`jnl`	An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR 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
2020	—	`conf`	End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	J	`jnl`	End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	A*	`conf`	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2020	A	`conf`	MLS: A Large-Scale Multilingual Dataset for Speech Research. INTERSPEECH Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	MLS: A Large-Scale Multilingual Dataset for Speech Research. CoRR Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert
2020	A	`conf`	Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR 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
2020	J	`jnl`	The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR 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
2019	J	`jnl`	End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert
2019	J	`jnl`	GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2019	J	`jnl`	RNN-T For Latency Controlled ASR With Improved Beam Search. CoRR Mahaveer Jain, Kjell Schubert, Jay Mahadeokar, Ching-Feng Yeh, Kaustubh Kalgaonkar, Anuroop Sriram, Christian Fuegen, Michael L. Seltzer
2018	A	`conf`	Cold Fusion: Training Seq2Seq Models Together with Language Models. INTERSPEECH Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
2018	—	`conf`	Cold fusion: Training Seq2seq Models Together with Language Models. ICLR (Workshop) Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
2018	Misc	`conf`	Robust Speech Recognition Using Generative Adversarial Networks. ICASSP Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2017	J	`jnl`	Cold Fusion: Training Seq2Seq Models Together with Language Models. CoRR Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, Adam Coates
2017	J	`jnl`	Exploring Neural Transducers for End-to-End Speech Recognition. CoRR Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, Zhenyao Zhu
2017	C	`conf`	Exploring neural transducers for end-to-end speech recognition. ASRU Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, Anuroop Sriram, Zhenyao Zhu
2017	J	`jnl`	Reducing Bias in Production Speech Models. CoRR 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
2017	J	`jnl`	Robust Speech Recognition Using Generative Adversarial Networks. CoRR Anuroop Sriram, Heewoo Jun, Yashesh Gaur, Sanjeev Satheesh