Sotabase

Career

· Founder & CEO, Vayuh.ai2021–
· Alumnus (PhD), Redwood Center for Theoretical Neuroscience2013–2019
· Head of AI and Engineering (former), Terrafuse
· Research Scientist (former), UC Berkeley

Publications (31)

Exascale Deep Learning for Climate Analytics
International Conference for High Performance Computing, Networking, Storage and Analysis · 2018
279
cited
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
IEEE International Conference on Robotics and Automation · 2019
140
cited
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
2021
97
cited
Novel deep learning methods for track reconstruction
2018
97
cited
Hamiltonian Monte Carlo Without Detailed Balance
International Conference on Machine Learning · 2014
66
cited
The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking
2017
49
cited
Segmenting and Tracking Extreme Climate Events using Neural Networks
2017
46
cited
Inner Engineering Practices and Advanced 4-day Isha Yoga Retreat Are Associated with Cannabimimetic Effects with Increased Endocannabinoids and Short-Term and Sustained Improvement in Mental Health: A Prospective Observational Study of Meditators
Evidence-Based Complementary and Alternative Medicine · 2020
28
cited
The HEP.TrkX Project: Deep Learning for Particle Tracking
Journal of Physics: Conference Series · 2018
25
cited
ClimateNet: an expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather
2020
20
cited
Isha Yoga Practices and Participation in Samyama Program are Associated with Reduced HbA1C and Systemic Inflammation, Improved Lipid Profile, and Short-Term and Sustained Improvement in Mental Health: A Prospective Observational Study of Meditators
Frontiers in Psychology · 2021
20
cited
Deep Learning for Extreme Weather Detection
2017
7
cited
Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations
2017
5
cited
Learning and Inference in Sparse Coding Models With Langevin Dynamics
Neural Computation · 2022
5
cited
Advanced Meditation and Vegan Diet Increased Acylglycines and Reduced Lipids Associated with Improved Health: A Prospective Longitudinal Study
Journal of Integrative and Complementary Medicine · 2022
4
cited
Investigating Deep Reinforcement Learning For Grasping Objects With An Anthropomorphic Hand
2018
4
cited
A Markov Jump Process for More Efficient Hamiltonian Monte Carlo
2015
1
cited
ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures
2018
1
cited
Climate Science, Deep Learning, and Pattern Discovery: The Madden-Julian Oscillation as a Test Case
2018
1
cited
Exascale Deep Learning for Climate Science
2019
1
cited
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Mayur Mudigonda | Researcher Profile | Sotabase | Sotabase