Anuroop Sriram

Orcid: 0000-0001-6295-7535

According to our database1, Anuroop Sriram authored at least 31 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FlowMM: Generating Materials with Riemannian Flow Matching.
CoRR, 2024

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.
CoRR, 2024

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

2022
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets.
Trans. Mach. Learn. Res., 2022

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

How Do Graph Networks Generalize to Large and Diverse Molecular Systems?
CoRR, 2022

Spherical Channels for Modeling Atomic Interactions.
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.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Rotation Invariant Graph Neural Networks using Spin Convolutions.
CoRR, 2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.
CoRR, 2021

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR, 2021


Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.
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.
CoRR, 2020

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

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.
CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR, 2020

End-to-End Variational Networks for Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MLS: A Large-Scale Multilingual Dataset for Speech Research.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.
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.
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.
CoRR, 2019

RNN-T For Latency Controlled ASR With Improved Beam Search.
CoRR, 2019

2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR, 2018

Cold Fusion: Training Seq2Seq Models Together with Language Models.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Robust Speech Recognition Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Reducing Bias in Production Speech Models.
CoRR, 2017

Exploring Neural Transducers for End-to-End Speech Recognition.
CoRR, 2017

Exploring neural transducers for end-to-end speech recognition.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017


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