Exploring neural transducers for end-to-end speech recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; Anuroop Sriram; Zhenyao Zhu (ASRU, 2017)

Exploring Neural Transducers for End-to-End Speech Recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; David Seetapun; Anuroop Sriram; Zhenyao Zhu (CoRR, 2017)

Reducing Bias in Production Speech Models. - Eric Battenberg; Rewon Child; Adam Coates 002; Christopher Fougner; Yashesh Gaur; Jiaji Huang; Heewoo Jun; Ajay Kannan; Markus Kliegl; Atul Kumar; Hairong Liu; Vinay Rao; et al. (CoRR, 2017)

Robust Speech Recognition Using Generative Adversarial Networks. - Anuroop Sriram; Heewoo Jun; Yashesh Gaur; Sanjeev Satheesh (ICASSP, 2018)

Cold Fusion: Training Seq2Seq Models Together with Language Models. - Anuroop Sriram; Heewoo Jun; Sanjeev Satheesh; Adam Coates 002 (INTERSPEECH, 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; et al. (CoRR, 2018)

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)

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)

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 (CVPR, 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 (INTERSPEECH, 2020)

MLS: A Large-Scale Multilingual Dataset for Speech Research. - Vineel Pratap; Qiantong Xu; Anuroop Sriram; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 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 (MICCAI (2), 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)

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; et al. (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; et al. (CoRR, 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; et al. (CoRR, 2020)

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 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 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; et al. (NeurIPS (Competition and Demos), 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)

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)

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)

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; et al. (IEEE Trans. Medical Imaging, 2021)

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations. - Anuroop Sriram; Abhishek Das; Brandon M. Wood; Siddharth Goyal; C. Lawrence Zitnick (ICLR, 2022)

Wav2Vec-Aug: Improved self-supervised training with limited data. - Anuroop Sriram; Michael Auli; Alexei Baevski (INTERSPEECH, 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 (NeurIPS, 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)

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; et al. (CoRR, 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 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)

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 (ICLR, 2024)

FlowMM: Generating Materials with Riemannian Flow Matching. - Benjamin Kurt Miller; Ricky T. Q. Chen; Anuroop Sriram; Brandon M. Wood (ICML, 2024)

FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions. - Anuroop Sriram; Benjamin Kurt Miller; Ricky T. Q. Chen; Brandon M. Wood (NeurIPS, 2024)

Distribution Learning for Molecular Regression. - Nima Shoghi; Pooya Shoghi; Anuroop Sriram; Abhishek Das (CoRR, 2024)

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective. - Neta Shaul; Itai Gat; Marton Havasi; Daniel Severo 001; Anuroop Sriram; Peter Holderrieth; Brian Karrer; Yaron Lipman; Ricky T. Q. Chen (ICLR, 2025)

All-atom Diffusion Transformers: Unified generative modelling of molecules and materials. - Chaitanya K. Joshi; Xiang Fu 005; Yi-Lun Liao; Vahe Gharakhanyan; Benjamin Kurt Miller; Anuroop Sriram; Zachary W. Ulissi (CoRR, 2025)

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. - 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 005; Guan-Horng Liu; et al. (CoRR, 2025)

UMA: A Family of Universal Models for Atoms. - Brandon M. Wood; Misko Dzamba; Xiang Fu 005; Meng Gao; Muhammed Shuaibi; Luis Barroso-Luque; Kareem Abdelmaqsoud; Vahe Gharakhanyan; John R. Kitchin; Daniel S. Levine 003; Kyle Michel; Anuroop Sriram; et al. (CoRR, 2025)