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Sandeep Madireddy
Sandeep Madireddy
Mathematics and Computer Science Division, Argonne National Laboratory
Verified email at mcs.anl.gov - Homepage
Title
Cited by
Cited by
Year
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
1302022
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
1222020
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
872015
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
482016
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
472022
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
442021
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
292018
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
272019
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
222020
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
212017
Application of machine learning and artificial intelligence to extend EFIT equilibrium reconstruction
LL Lao, S Kruger, C Akcay, P Balaprakash, TA Bechtel, E Howell, J Koo, ...
Plasma Physics and Controlled Fusion 64 (7), 074001, 2022
192022
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
192019
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
182022
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
152018
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
132023
A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational Lens Detection and Modeling
S Madireddy, N Li, N Ramachandra, P Balaprakash, S Habib, J Butler, ...
arXiv preprint arXiv:1911.03867, 2020
11*2020
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification
A Ćiprijanović, D Kafkes, G Snyder, FJ Sánchez, GN Perdue, K Pedro, ...
Machine Learning: Science and Technology 3 (3), 035007, 2022
102022
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
92023
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
92019
On the Inference of Viscoelastic Constants from Stress Relaxation Experiments
K Vemaganti, S Madireddy, S Kedari
Mechanics of Time-Dependent Materials, 2019
92019
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