Sandeep Madireddy
Orcid: 0000-0002-0437-8655
According to our database1,
Sandeep Madireddy
authored at least 37 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detection.
Mach. Learn. Sci. Technol., June, 2023
Neural Networks, March, 2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.
CoRR, 2023
CoRR, 2023
Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classification.
Mach. Learn. Sci. Technol., 2022
General policy mapping: online continual reinforcement learning inspired on the insect brain.
CoRR, 2022
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection.
CoRR, 2022
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness.
CoRR, 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck.
CoRR, 2022
Proceedings of the SC22: International Conference for High Performance Computing, 2022
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures.
Proceedings of the IEEE International Conference on Rebooting Computing, 2022
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
In situ compression artifact removal in scientific data using deep transfer learning and experience replay.
Mach. Learn. Sci. Technol., 2021
CoRR, 2021
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains.
CoRR, 2021
2020
CoRR, 2020
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning.
CoRR, 2020
Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis.
Proceedings of the Fifth IEEE/ACM International Parallel Data Systems Workshop, 2020
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the 2020 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers, 2020
2019
Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models.
CoRR, 2019
Proceedings of the 48th International Conference on Parallel Processing, 2019
Proceedings of the International Conference on Neuromorphic Systems, 2019
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems.
Proceedings of the High Performance Computing - 33rd International Conference, 2018
Proceedings of the IEEE International Conference on Cluster Computing, 2018
2017
Analysis and Correlation of Application I/O Performance and System-Wide I/O Activity.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017