Exascale deep learning for climate analytics T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ... SC18: International conference for high performance computing, networking …, 2018 | 305 | 2018 |
Manipulation by feel: Touch-based control with deep predictive models S Tian, F Ebert, D Jayaraman, M Mudigonda, C Finn, R Calandra, ... 2019 International Conference on Robotics and Automation (ICRA), 818-824, 2019 | 125 | 2019 |
Novel deep learning methods for track reconstruction S Farrell, P Calafiura, M Mudigonda, D Anderson, JR Vlimant, S Zheng, ... arXiv preprint arXiv:1810.06111, 2018 | 119 | 2018 |
Hamiltonian Monte Carlo without detailed balance J Sohl-Dickstein, M Mudigonda, M DeWeese International Conference on Machine Learning, 719-726, 2014 | 83 | 2014 |
The HEP. TrkX Project: deep neural networks for HL-LHC online and offline tracking S Farrell, D Anderson, P Calafiura, G Cerati, L Gray, J Kowalkowski, ... EPJ Web of Conferences 150, 00003, 2017 | 58 | 2017 |
ClimateNet: An expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather Prabhat, K Kashinath, M Mudigonda, S Kim, L Kapp-Schwoerer, ... Geoscientific Model Development Discussions 2020, 1-28, 2020 | 54 | 2020 |
Segmenting and tracking extreme climate events using neural networks M Mudigonda, S Kim, A Mahesh, S Kahou, K Kashinath, D Williams, ... Deep Learning for Physical Sciences (DLPS) Workshop, held with NIPS Conference, 2017 | 38 | 2017 |
Inner engineering practices and advanced 4-day isha yoga retreat are associated with cannabimimetic effects with increased endocannabinoids and short-term and sustained … S Sadhasivam, S Alankar, R Maturi, RV Vishnubhotla, M Mudigonda, ... Evidence-Based Complementary and Alternative Medicine 2020, 2020 | 27 | 2020 |
The HEP. TrkX project: deep learning for particle tracking A Tsaris, D Anderson, J Bendavid, P Calafiura, G Cerati, J Esseiva, ... Journal of Physics: Conference Series 1085, 042023, 2018 | 26 | 2018 |
Isha yoga practices and participation in Samyama Program are associated with reduced HbA1C and systemic inflammation, improved lipid profile, and short-term and sustained … S Sadhasivam, S Alankar, R Maturi, A Williams, RV Vishnubhotla, ... Frontiers in Psychology 12, 659667, 2021 | 17 | 2021 |
Generalization properties of machine learning based weather model downscaling A Manepalli, A Singh, M Mudigonda, B White, A Albert Proceedings of the international conference on learning representations, 1-8, 2020 | 8 | 2020 |
Deep learning for extreme weather detection M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ... AGU Fall Meeting Abstracts 2017, IN11A-0022, 2017 | 7 | 2017 |
Deep learning for detecting extreme weather patterns M Mudigonda, P Ram, K Kashinath, E Racah, A Mahesh, Y Liu, ... Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 5 | 2021 |
The HEP S Farrell, D Anderson, P Calafiura, G Cerati, L Gray, J Kowalkowski, ... TrkX Project: deep neural networks for HL-LHC online and offline tracking …, 2017 | 5 | 2017 |
Advanced meditation and vegan diet increased acylglycines and reduced lipids associated with improved health: A prospective longitudinal study RV Vishnubhotla, PL Wood, A Verma, JE Cebak, S Hariri, M Mudigonda, ... Journal of Integrative and Complementary Medicine 28 (8), 674-682, 2022 | 4 | 2022 |
Learning and inference in sparse coding models with Langevin dynamics MYS Fang, M Mudigonda, R Zarcone, A Khosrowshahi, BA Olshausen Neural Computation 34 (8), 1676-1700, 2022 | 4 | 2022 |
Investigating deep reinforcement learning for grasping objects with an anthropomorphic hand M Mudigonda, P Agrawal, M Deweese, J Malik | 4 | 2018 |
Assessing uncertainty in deep learning techniques that identify atmospheric rivers in climate simulations A Mahesh, M Mudigonda, SK Kim, K Kashinath, S Kahou, V Michalski, ... AGU Fall Meeting Abstracts 2017, IN11E-06, 2017 | 3 | 2017 |
ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures M Prabhat, K Kashinath, T Kurth, M Mudigonda, A Mahesh, BA Toms, ... AGU Fall Meeting Abstracts 2018, ED53E-0758, 2018 | 2 | 2018 |
Probabilistic detection of extreme weather using deep learning methods A Mahesh, TA O'Brien, WD Collins, MF Wehner, M Prabhat, K Kashinath, ... AGU Fall Meeting Abstracts 2018, U14B-12, 2018 | 2 | 2018 |