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ORCIDSayan Ghosh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Sayan Ghosh 0001 — Jadavpur University, Kolkata, India
- Sayan Ghosh 0002 — Indian Institute of Technology (IIT) Kharagpur, India
- Sayan Ghosh 0003 — Georgia Institute of Technology, Atlanta, GA, USA
- Sayan Ghosh 0004 — University of Southern California, Playa Vista, CA, USA
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2020 – today
- 2022
[j6]Sayan Ghosh
, Ryan E. Grant, Min Si:
Special Issue on Hot Interconnects. IEEE Micro 42(2): 35-36 (2022)- [j5]Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
Towards scaling community detection on distributed-memory heterogeneous systems. Parallel Comput. 111: 102898 (2022) - [j4]Sayan Ghosh, Nathan R. Tallent, Mahantesh Halappanavar:
Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. 33(4): 915-928 (2022) - [c34]Yuwei Bao, Sayan Ghosh, Joyce Chai:
Learning to Mediate Disparities Towards Pragmatic Communication. ACL (1) 2022: 2829-2842 - [c33]Sayan Ghosh, Shashank Srivastava:
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. ACL (1) 2022: 3989-4004 - [c32]Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. ACL (1) 2022: 6523-6546 - [c31]Milan Jain, Sayan Ghosh, Sai Pushpak Nandanoori:
Workload characterization of a time-series prediction system for spatio-temporal data. CF 2022: 159-168 - [i15]Yuwei Bao, Sayan Ghosh, Joyce Chai:
Learning to Mediate Disparities Towards Pragmatic Communication. CoRR abs/2203.13685 (2022) - [i14]Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava:
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. CoRR abs/2204.07142 (2022) - 2021
- [j3]Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang:
Bayesian-entropy gaussian process for constrained metamodeling. Reliab. Eng. Syst. Saf. 214: 107762 (2021) - [c30]Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem:
Data-based Discovery of Governing Equations. AAAI Spring Symposium: MLPS 2021 - [c29]Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi, Shashank Srivastava:
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL/IJCNLP (2) 2021: 71-79 - [c28]Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran:
Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media. W-NUT 2021: 313-328 - [c27]Sayan Ghosh, Yanfei Guo, Pavan Balaji, Assefaw H. Gebremedhin:
RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA. CCGRID 2021: 143-155 - [c26]Mahantesh Halappanavar, Marco Minutoli, Sayan Ghosh:
Graph analytics in the exascale era. CF 2021: 209 - [c25]Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. EMNLP (1) 2021: 550-562 - [c24]Sayan Ghosh, Shashank Srivastava:
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. EMNLP (Findings) 2021: 1449-1462 - [c23]Sayan Ghosh, Clara Alsobrooks, Martin Rüfenacht, Anthony Skjellum, Purushotham V. Bangalore, Andrew Lumsdaine:
Towards Modern C++ Language Support for MPI. ExaMPI@SC 2021: 27-35 - [c22]Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman:
Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC 2021: 55:1-55:14 - [i13]Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran:
Cross-geographic Bias Detection in Toxicity Modeling. CoRR abs/2104.06999 (2021) - [i12]Sayan Ghosh, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Valeria Andreoli, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang:
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. CoRR abs/2108.10163 (2021) - [i11]Sayan Ghosh, Shashank Srivastava:
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding. CoRR abs/2109.06838 (2021) - [i10]Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi:
Adversarial Scrubbing of Demographic Information for Text Classification. CoRR abs/2109.08613 (2021) - [i9]Sayan Ghosh, Shashank Srivastava:
Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning. CoRR abs/2110.00842 (2021) - [i8]Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh:
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design. CoRR abs/2112.10944 (2021) - 2020
- [c21]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. EMNLP (1) 2020: 122-136 - [c20]Sayan Ghosh, Mahantesh Halappanavar:
TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure. HPEC 2020: 1-6 - [i7]Steven Atkinson, Sayan Ghosh, Natarajan Chennimalai-Kumar, Genghis Khan, Liping Wang:
Bayesian task embedding for few-shot Bayesian optimization. CoRR abs/2001.00637 (2020) - [i6]Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai-Kumar, Suryarghya Chakrabarti, Liping Wang:
Advances in Bayesian Probabilistic Modeling for Industrial Applications. CoRR abs/2003.11939 (2020) - [i5]Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang:
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. CoRR abs/2008.02386 (2020) - [i4]Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris:
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. CoRR abs/2008.03534 (2020) - [i3]Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal:
PRover: Proof Generation for Interpretable Reasoning over Rules. CoRR abs/2010.02830 (2020) - [i2]Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem:
Data-based Discovery of Governing Equations. CoRR abs/2012.06036 (2020)
2010 – 2019
- 2019
- [c19]Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens:
Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions. ACL (1) 2019: 6204-6214 - [c18]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman:
Scaling and Quality of Modularity Optimization Methods for Graph Clustering. HPEC 2019: 1-6 - [c17]Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Assefaw H. Gebremedhin:
Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. IPDPS 2019: 761-770 - [c16]Sayan Ghosh, Jose Echevarria, Vineet Batra, Ankit Phogat:
Exploring color variations for vector graphics. SIGGRAPH Posters 2019: 10:1-10:2 - [i1]Sayan Ghosh, Jesper Kristensen, Yiming Zhang, Waad Subber, Liping Wang:
A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty. CoRR abs/1907.11739 (2019) - 2018
- [c15]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
Scalable Distributed Memory Community Detection Using Vite. HPEC 2018: 1-7 - [c14]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Hao Lu, Daniel G. Chavarría-Miranda, Arif Khan, Assefaw Hadish Gebremedhin:
Distributed Louvain Algorithm for Graph Community Detection. IPDPS 2018: 885-895 - [c13]Sayan Ghosh, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Assefaw H. Gebremedhin:
MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. PMBS@SC 2018: 51-56 - 2016
- [c12]Sayan Ghosh, Assefaw Hadish Gebremedhin:
Parallelization of Bin Packing on Multicore Systems. HiPC 2016: 311-320 - [c11]Sayan Ghosh, Jeff R. Hammond, Antonio J. Peña, Pavan Balaji, Assefaw Hadish Gebremedhin, Barbara M. Chapman:
One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental. ICPP 2016: 185-194 - [c10]Sayan Ghosh, Ayananta Das, Dilip Kumar Pratihar:
A New Form of Fuzzy Reasoning Tool to Ensure Both Accuracy and Readability. SoCPaR 2016: 54-65 - 2014
- [j2]Sayan Ghosh, Terrence Liao, Henri Calandra, Barbara M. Chapman:
Performance of CPU/GPU compiler directives on ISO/TTI kernels. Computing 96(12): 1149-1162 (2014) - [c9]Jeff R. Hammond, Sayan Ghosh, Barbara M. Chapman:
Implementing OpenSHMEM Using MPI-3 One-Sided Communication. OpenSHMEM 2014: 44-58 - [c8]Naveen Namashivayam, Sayan Ghosh, Dounia Khaldi, Deepak Eachempati, Barbara M. Chapman:
Native Mode-Based Optimizations of Remote Memory Accesses in OpenSHMEM for Intel Xeon Phi. PGAS 2014: 12:1-12:11 - 2013
- [c7]Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman:
Statistical modeling of power/energy of scientific kernels on a multi-GPU system. IGCC 2013: 1-6 - [c6]Priyanka Ghosh, Jeff R. Hammond, Sayan Ghosh, Barbara M. Chapman:
Performance Analysis of the NWChem TCE for Different Communication Patterns. PMBS@SC 2013: 281-294 - 2012
- [c5]Sayan Ghosh, T. V. Sreenivas:
Automatic Speech Segmentation Using Probabilistic Latent Component Modeling. INTERSPEECH 2012: 2262-2265 - [c4]Sayan Ghosh, Terrence Liao, Henri Calandra, Barbara M. Chapman:
Experiences with OpenMP, PGI, HMPP and OpenACC Directives on ISO/TTI Kernels. SC Companion 2012: 691-700 - [c3]Sayan Ghosh, Sunita Chandrasekaran, Barbara M. Chapman:
Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels. SC Companion 2012: 1516 - 2011
- [j1]Sayan Ghosh, Abhishek Halder, Manoranjan Sinha:
Micro air vehicle path planning in fuzzy quadtree framework. Appl. Soft Comput. 11(8): 4859-4865 (2011) - [c2]Sayan Ghosh, Barbara M. Chapman:
Programming Strategies for GPUs and their Power Consumption. PACT 2011: 218
2000 – 2009
- 2007
- [c1]Abhishek Halder, Sayan Ghosh, Manoranjan Sinha:
Fuzzy Quadtree Based Path Planner and Trajectory Smoother for a Low Cost Unmanned Aerial Vehicle. IICAI 2007: 763-778
Coauthor Index
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last updated on 2022-05-19 21:33 CEST by the dblp team
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