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:

Bibliography

2024
Analysis and Benchmarking of feature reduction for classification under computational constraints.
Mach. Learn. Sci. Technol., 2024

Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process.
CoRR, 2024

Impact of Write-Allocate Elimination on Fujitsu A64FX.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops, 2024

2023
Reconciling Security and Communication Efficiency in Federated Learning.
IEEE Data Eng. Bull., 2023

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR, 2023

Green Federated Learning.
CoRR, 2023

When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA.
CoRR, 2023

Pruning Compact ConvNets for Efficient Inference.
CoRR, 2023

Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 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

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models.
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
Characterizing Performance of Graph Neighborhood Communication Patterns.
IEEE Trans. Parallel Distributed Syst., 2022

Towards scaling community detection on distributed-memory heterogeneous systems.
Parallel Comput., 2022

Special Issue on Hot Interconnects.
IEEE Micro, 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

Pulse Shape Simulation and Discrimination using Machine-Learning Techniques.
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

Sparse Deep Neural Network Inference Using Different Programming Models.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure.
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

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations.
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

Learning to Mediate Disparities Towards Pragmatic Communication.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Batched Graph Community Detection on GPUs.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Bayesian-entropy gaussian process for constrained metamodeling.
Reliab. Eng. Syst. Saf., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications.
Int. J. High Perform. Comput. Appl., 2021

Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design.
CoRR, 2021

Opacus: User-Friendly Differential Privacy Library in PyTorch.
CoRR, 2021

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning.
CoRR, 2021

Cross-geographic Bias Detection in Toxicity Modeling.
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

Towards Modern C++ Language Support for MPI.
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

Adversarial Scrubbing of Demographic Information for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Graph analytics in the exascale era.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Data-based Discovery of Governing Equations.
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

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes.
CoRR, 2020

Advances in Bayesian Probabilistic Modeling for Industrial Applications.
CoRR, 2020

Bayesian task embedding for few-shot Bayesian optimization.
CoRR, 2020

TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

PRover: Proof Generation for Interpretable Reasoning over Rules.
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

Exploring color variations for vector graphics.
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

Scaling and Quality of Modularity Optimization Methods for Graph Clustering.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems.
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

Distributed Louvain Algorithm for Graph Community Detection.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Scalable Distributed Memory Community Detection Using Vite.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

2016
A New Form of Fuzzy Reasoning Tool to Ensure Both Accuracy and Readability.
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

Parallelization of Bin Packing on Multicore Systems.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

2014
Performance of CPU/GPU compiler directives on ISO/TTI kernels.
Computing, 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

Implementing OpenSHMEM Using MPI-3 One-Sided Communication.
Proceedings of the OpenSHMEM and Related Technologies. Experiences, Implementations, and Tools, 2014

2013
Performance Analysis of the NWChem TCE for Different Communication Patterns.
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking and Simulation, 2013

Statistical modeling of power/energy of scientific kernels on a multi-GPU system.
Proceedings of the International Green Computing Conference, 2013

2012
Experiences with OpenMP, PGI, HMPP and OpenACC Directives on ISO/TTI Kernels.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Automatic Speech Segmentation Using Probabilistic Latent Component Modeling.
Proceedings of the INTERSPEECH 2012, 2012

2011
Micro air vehicle path planning in fuzzy quadtree framework.
Appl. Soft Comput., 2011

Programming Strategies for GPUs and their Power Consumption.
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


  Loading...