Mayur Mudigonda

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 7

Top Topics

Markovian Decision

Top Venues

Publications

Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen
Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Comput. 34 (8) (2022)
Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen
Learning and Inference in Sparse Coding Models with Langevin Dynamics. CoRR (2022)
Ashray Manepalli, Mayur Mudigonda, Adrian Albert
Modeling Mountain Snowpack Dynamics with CGANS: A Validation Study. IGARSS (2020)
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR (2019)
Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA (2019)
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Exascale deep learning for climate analytics. SC (2018)
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston
Exascale Deep Learning for Climate Analytics. CoRR (2018)
Jascha Sohl-Dickstein, Mayur Mudigonda, Michael Robert DeWeese
Hamiltonian Monte Carlo Without Detailed Balance. ICML (2014)