עקוב אחר
Sandeep Madireddy
Sandeep Madireddy
Mathematics and Computer Science Division, Argonne National Laboratory
כתובת אימייל מאומתת בדומיין mcs.anl.gov - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Biological underpinnings for lifelong learning machines‏
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...‏
Nature Machine Intelligence 4 (3), 196-210, 2022‏
2382022
Time-series learning of latent-space dynamics for reduced-order model closure‏
R Maulik, A Mohan, B Lusch, S Madireddy, P Balaprakash, D Livescu‏
Physica D: Nonlinear Phenomena 405, 132368, 2020‏
1402020
A Bayesian approach to selecting hyperelastic constitutive models of soft tissue‏
S Madireddy, B Sista, K Vemaganti‏
Computer Methods in Applied Mechanics and Engineering 291, 102-122, 2015‏
962015
Applications and techniques for fast machine learning in science‏
AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ...‏
Frontiers in big Data 5, 787421, 2022‏
702022
DeepMerge–II. Building robust deep learning algorithms for merging galaxy identification across domains‏
A Ćiprijanović, D Kafkes, K Downey, S Jenkins, GN Perdue, S Madireddy, ...‏
Monthly Notices of the Royal Astronomical Society 506 (1), 677-691, 2021‏
602021
Bayesian calibration of hyperelastic constitutive models of soft tissue‏
S Madireddy, B Sista, K Vemaganti‏
Journal of the Mechanical Behavior of Biomedical Materials, Accepted for …, 2016‏
542016
Application of machine learning and artificial intelligence to extend EFIT equilibrium reconstruction‏
LL Lao, S Kruger, C Akçay, P Balaprakash, TA Bechtel, E Howell, J Koo, ...‏
Plasma Physics and Controlled Fusion 64 (7), 074001, 2022‏
492022
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting‏
T Nguyen, R Shah, H Bansal, T Arcomano, R Maulik, R Kotamarthi, ...‏
Advances in Neural Information Processing Systems 37, 68740-68771, 2024‏
45*2024
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection‏
A Ćiprijanović, A Lewis, K Pedro, S Madireddy, B Nord, GN Perdue, ...‏
Machine Learning: Science and Technology 4 (2), 025013, 2023‏
42*2023
HPC I/O throughput bottleneck analysis with explainable local models‏
M Isakov, E Del Rosario, S Madireddy, P Balaprakash, P Carns, RB Ross, ...‏
SC20: International Conference for High Performance Computing, Networking …, 2020‏
362020
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time‏
S Lee, Q Kang, S Madireddy, P Balaprakash, A Agrawal, A Choudhary, ...‏
2019 IEEE International Conference on Big Data (Big Data), 830-839, 2019‏
342019
Machine learning based parallel I/O predictive modeling: A case study on Lustre file systems‏
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...‏
High Performance Computing: 33rd International Conference, ISC High …, 2018‏
322018
Analysis and correlation of application I/O performance and system-wide I/O activity‏
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...‏
2017 International Conference on Networking, Architecture, and Storage (NAS …, 2017‏
262017
A domain-agnostic approach for characterization of lifelong learning systems‏
MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ...‏
Neural Networks 160, 274-296, 2023‏
242023
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification.‏
A Ciprijanovic, D Kafkes, GF Snyder, FJ Sánchez, GN Perdue, K Pedro, ...‏
Mach. Learn. Sci. Technol. 3 (3), 35007, 2022‏
222022
Phase segmentation in atom-probe tomography using deep learning-based edge detection‏
S Madireddy, DW Chung, T Loeffler, SKRS Sankaranarayanan, ...‏
Scientific reports 9 (1), 20140, 2019‏
212019
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures‏
S Madireddy, A Yanguas-Gil, P Balaprakash‏
arXiv preprint arXiv:2308.04539, 2023‏
16*2023
Adaptive Learning for Concept Drift in Application Performance Modeling‏
S Madireddy, P Balaprakash, P Carns, R Latham, GK Lockwood, R Ross, ...‏
Proceedings of the 48th International Conference on Parallel Processing, 1-11, 2019‏
162019
Modeling I/O performance variability using conditional variational autoencoders‏
S Madireddy, P Balaprakash, P Carns, R Latham, R Ross, S Snyder, ...‏
2018 IEEE international conference on cluster computing (CLUSTER), 109-113, 2018‏
162018
Hpc storage service autotuning using variational-autoencoder-guided asynchronous bayesian optimization‏
M Dorier, R Egele, P Balaprakash, J Koo, S Madireddy, S Ramesh, ...‏
2022 IEEE International Conference on Cluster Computing (CLUSTER), 381-393, 2022‏
132022
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20