Sandeep Madireddy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPDC | GLANCED-IO: Taming I/O Optimization for Deep Learning at Scale. | Ray A. O. Sinurat, William Nixon, Philip H. Carns, Huihuo Zheng, Sandeep Madireddy, Sam Foreman, Troy Arcomano, Robert B. Ross, Haryadi S. Gunawi, Hariharan Devarajan |
| 2025 | EuroSys | Heimdall: Optimizing Storage I/O Admission with Extensive Machine Learning Pipeline. | Daniar Heri Kurniawan, Rani Ayu Putri, Peiran Qin, Kahfi S. Zulkifli, Ray A. O. Sinurat, Janki Bhimani, Sandeep Madireddy, Achmad Imam Kistijantoro, Haryadi S. Gunawi |
| 2025 | SC | Evaluation of Test-Time Compute Constraints on Safety and Skill Large Reasoning Models. | Adarsha Balaji, Le Chen, Rajeev Thakur, Franck Cappello, Sandeep Madireddy |
| 2025 | SC | Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. | Ozan Gkdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens |
| 2025 | SC | AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions. | Vin Hatanp, Eugene Ku, Jason Stock, Murali Emani, Sam Foreman, Chunyong Jung, Sandeep Madireddy, Tung Nguyen, Varuni Sastry, Ray A. O. Sinurat, Huihuo Zheng, Sam Wheeler, Troy Arcomano, Venkatram Vishwanath, Rao Kotamarthi |
| 2024 | ICML | REMEDI: Corrective Transformations for Improved Neural Entropy Estimation. | Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy, Pierre Nyquist |
| 2023 | AISTATS | Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. | Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer |
| 2023 | DATE | Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors. | Yuming Liu, Angel Yanguas-Gil, Sandeep Madireddy, Yanjing Li |
| 2022 | CLUSTER | HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. | Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross |
| 2022 | SC | A Taxonomy of Error Sources in HPC I/O Machine Learning Models. | Mihailo Isakov, Mikaela Currier, Eliakin Del Rosario, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Glenn K. Lockwood, Michel A. Kinsy |
| 2020 | SC | HPC I/O throughput bottleneck analysis with explainable local models. | Mihailo Isakov, Eliakin Del Rosario, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Michel A. Kinsy |
| 2020 | SC | Gauge: An Interactive Data-Driven Visualization Tool for HPC Application I/O Performance Analysis. | Eliakin Del Rosario, Mikaela Currier, Mihailo Isakov, Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert B. Ross, Kevin Harms, Shane Snyder, Michel A. Kinsy |
| 2019 | ICPP | Adaptive Learning for Concept Drift in Application Performance Modeling. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Glenn K. Lockwood, Robert B. Ross, Shane Snyder, Stefan M. Wild |
| 2018 | CLUSTER | Modeling I/O Performance Variability Using Conditional Variational Autoencoders. | Sandeep Madireddy, Prasanna Balaprakash, Philip H. Carns, Robert Latham, Robert B. Ross, Shane Snyder, Stefan M. Wild |