Sayan Ghosh
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Sayan Ghosh 001 (Jadavpur University, Kolkata, India)
- Sayan Ghosh 002 (Indian Institute of Technology (IIT) Kharagpur, India)
- Sayan Ghosh 003 (Georgia Institute of Technology, Atlanta, GA, USA)
- Sayan Ghosh 004 (University of Southern California, Playa Vista, CA, USA)
Bibliography
2025
Future Gener. Comput. Syst., 2025
2024
Analysis and Benchmarking of feature reduction for classification under computational constraints.
Mach. Learn. Sci. Technol., 2024
Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security.
CoRR, 2024
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process.
CoRR, 2024
CoRR, 2024
Proceedings of the International Conference for High Performance Computing, 2024
Studying CPU and memory utilization of applications on Fujitsu A64FX and Nvidia Grace Superchip.
Proceedings of the International Symposium on Memory Systems, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024
Proceedings of the IEEE Symposium on High-Performance Interconnects, 2024
Compare without Despair: Reliable Preference Evaluation with Generation Separability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs.
Proceedings of the IEEE International Conference on Cluster Computing, 2024
2023
IEEE Data Eng. Bull., 2023
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR, 2023
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA.
CoRR, 2023
Emotion Classification and Respective Sticker Mapping Using Convolutional Neural Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
Parallel Comput., 2022
Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds.
Entropy, 2022
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.
CoRR, 2022
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.
CoRR, 2022
CoRR, 2022
A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Workload characterization of a time-series prediction system for spatio-temporal data.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022
2021
Reliab. Eng. Syst. Saf., 2021
Int. J. High Perform. Comput. Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design.
CoRR, 2021
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning.
CoRR, 2021
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs.
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the Workshop on Exascale MPI, 2021
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CF '21: Computing Frontiers Conference, 2021
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty.
CoRR, 2019
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019
Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019
2018
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
2016
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental.
Proceedings of the 45th International Conference on Parallel Processing, 2016
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016
2014
Native Mode-Based Optimizations of Remote Memory Accesses in OpenSHMEM for Intel Xeon Phi.
Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, 2014
Proceedings of the OpenSHMEM and Related Technologies. Experiences, Implementations, and Tools, 2014
2013
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation, 2013
Proceedings of the International Green Computing Conference, 2013
2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
2011
Appl. Soft Comput., 2011
Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques, 2011
2007
Fuzzy Quadtree Based Path Planner and Trajectory Smoother for a Low Cost Unmanned Aerial Vehicle.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007