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ORCIDG. Srinivasaraghavan 0001
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- affiliation: International Institute of Information Technology Bangalore (IIITB), India
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2020 – today
- 2024
[i10]Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan:
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space. CoRR abs/2410.11250 (2024)- 2023
- [i9]Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan:
AI based approach to Trailer Generation for Online Educational Courses. CoRR abs/2301.03957 (2023) - 2022
- [c23]Prakhar Mishra
, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan:
A Semi-automatic Approach for Generating Video Trailers for Learning Pathways. AIED (2) 2022: 302-305 - [c22]Ronak Doshi, G. Srinivasaraghavan, Neeraj Bansal, Amit Gupta:
Banking Data Enrichment Pipeline. ICCTA 2022: 42-47 - [c21]Ravi Kiran Reddy Kotlo Budde, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One shot learning in StyleALAE: Preserving facial identity during semantic modification. ICVGIP 2022: 16:1-16:7 - [c20]Gopalakrishnan Venkatesh, Abhik Jana, Steffen Remus, Özge Sevgili, Gopalakrishnan Srinivasaraghavan, Chris Biemann:
Using distributional thesaurus to enhance transformer-based contextualized representations for low resource languages. SAC 2022: 845-852 - 2021
- [j4]Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan:
Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models. Int. J. Semantic Comput. 15(4): 487-510 (2021) - [c19]Aritra Bhowmick, Meenakshi D'Souza, G. Srinivasa Raghavan:
LipBaB: Computing Exact Lipschitz Constant of ReLU Networks. ICANN (4) 2021: 151-162 - [c18]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. IJCNN 2021: 1-8 - [c17]Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan:
Automatic Title Generation for Text with Pre-trained Transformer Language Model. ICSC 2021: 17-24 - [c16]Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju, G. Srinivasaraghavan:
EmELvar: A NeuroSymbolic Reasoner for the EL++ Description Logic. SemREC@ISWC 2021: 44-51 - [i8]Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor:
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. CoRR abs/2102.00824 (2021) - [i7]Sonal Garg, Sumanth Prabhu, Hemant Misra, G. Srinivasaraghavan:
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning. CoRR abs/2103.12777 (2021) - [i6]Aritra Bhowmick, Meenakshi D'Souza, G. Srinivasa Raghavan:
LipBaB: Computing exact Lipschitz constant of ReLU networks. CoRR abs/2105.05495 (2021) - [i5]Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One-shot domain adaptation for semantic face editing of real world images using StyleALAE. CoRR abs/2108.13876 (2021) - [i4]Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju, G. Srinivasaraghavan:
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships. CoRR abs/2110.10555 (2021) - 2020
- [j3]Gopalakrishnan Venkatesh, Aayush Grover, G. Srinivasaraghavan, Shrisha Rao:
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model. Bioinform. 36(Supplement-1): i399-i406 (2020) - [i3]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. CoRR abs/2011.00954 (2020)
2010 – 2019
- 2019
- [c15]Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan:
Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space. ISNN (1) 2019: 202-212 - 2018
- [c14]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network. ICONIP (7) 2018: 222-234 - [c13]Amit Sarkar, G. Srinivasaraghavan:
Contextual Web Summarization: A Supervised Ranking Approach. WWW (Companion Volume) 2018: 105-106 - 2017
- [c12]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers. ICONIP (1) 2017: 849-859 - [c11]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest. PAKDD (2) 2017: 495-507 - [i2]Daksh Varshneya, G. Srinivasaraghavan:
Human Trajectory Prediction using Spatially aware Deep Attention Models. CoRR abs/1705.09436 (2017) - 2016
- [c10]Kumar Dheenadayalan, V. N. Muralidhara, Gopalakrishnan Srinivasaraghavan:
Storage Load Control Through Meta-Scheduler Using Predictive Analytics. ICDCIT 2016: 75-86 - [c9]Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data. ICMLA 2016: 13-18 - [c8]Aakanksha Bapna, G. Srinivasaraghavan:
On learning mixed Bayesian networks. ICMLC 2016: 392-397 - [c7]Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Pruning a Random Forest by Learning a Learning Algorithm. MLDM 2016: 516-529 - [c6]Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan:
Simulator Prototyping Through Graphical Dependency Modeling. MLDM 2016: 584-598 - [i1]Rahul A. R, G. Srinivasaraghavan:
Phoenix: A Self-Optimizing Chess Engine. CoRR abs/1603.09051 (2016) - 2014
- [c5]Kumar Dheenadayalan, V. N. Muralidhara, Pushpa Datla, G. Srinivasaraghavan, Maulik Shah:
Premonition of storage response class using Skyline ranked Ensemble method. HiPC 2014: 1-10 - [c4]Jyotiska Nath Khasnabish, Mitali Sodhi, Jayati Deshmukh, G. Srinivasaraghavan:
Detecting Programming Language from Source Code Using Bayesian Learning Techniques. MLDM 2014: 513-522
2000 – 2009
- 2000
- [j2]G. Srinivasaraghavan, Asish Mukhopadhyay:
Orthogonal Edge Visibility Graphs of Polygons with Holes. Int. J. Comput. Geom. Appl. 10(1): 79-102 (2000)
1990 – 1999
- 1995
- [c3]R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan:
Tight Bounds for Finding Degrees from the Adjacency Matrix. LATIN 1995: 49-59 - 1994
- [j1]G. Srinivasaraghavan, Asish Mukhopadhyay:
A New Necessary Condition for the Vertex Visibility Graphs of Simple Polygons. Discret. Comput. Geom. 12: 65-82 (1994) - 1993
- [c2]G. Srinivasaraghavan, Asish Mukhopadhyay:
On the Notion of Completeness for Reconstruction Algorithms on Visibility Graphs. CCCG 1993: 315-320 - [c1]R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan:
The Complexity of Finding Certain Trees in Tournaments. WADS 1993: 142-150
Coauthor Index
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