2.2k citations · 5.4k across the 32 of their papers we have counts for
4 papers · 1 filter
Rotation Invariant Graph Neural Networks using Spin Convolutions
Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das +4
Progress towards the energy breakthroughs needed to combat climate change can be significantly accelerated through the efficient simulation of atomic systems. Simulation techniques…
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training
Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski +8
Self-supervised learning of speech representations has been a very active research area but most work is focused on a single domain such as read audio books for which there exist l…
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
Weihua Hu, Muhammed Shuaibi, Abhishek Das +5
With massive amounts of atomic simulation data available, there is a huge opportunity to develop fast and accurate machine learning models to approximate expensive physics-based ca…
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram, Matthew Muckley, Koustuv Sinha +7
The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. M…