G. Srinivasaraghavan

Publication Activity (10 Years)

Years Active: 1993-2021
Publications (10 Years): 14

Top Topics

Binding Peptides

Reinforcement Learning

Top Venues

Publications

Nikunj Gupta, G. Srinivasaraghavan, Swarup Kumar Mohalik, Matthew E. Taylor
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging. CoRR (2021)
Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa, G. Srinivasaraghavan
Automatic Title Generation for Text with Pre-trained Transformer Language Model. ICSC (2021)
Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju, G. Srinivasaraghavan
Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships. CoRR (2021)
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)
Sonal Garg, Sumanth Prabhu, Hemant Misra, G. Srinivasaraghavan
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning. CoRR (2021)
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) (2020)
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 (2020)
Amit Sarkar, G. Srinivasaraghavan
Contextual Web Summarization: A Supervised Ranking Approach. WWW (Companion Volume) (2018)
Daksh Varshneya, G. Srinivasaraghavan
Human Trajectory Prediction using Spatially aware Deep Attention Models. CoRR (2017)
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)
Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan
Simulator Prototyping Through Graphical Dependency Modeling. MLDM (2016)
Aakanksha Bapna, G. Srinivasaraghavan
On learning mixed Bayesian networks. ICMLC (2016)
Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara
Pruning a Random Forest by Learning a Learning Algorithm. MLDM (2016)
Rahul A. R, G. Srinivasaraghavan
Phoenix: A Self-Optimizing Chess Engine. CoRR (2016)
Kumar Dheenadayalan, V. N. Muralidhara, Pushpa Datla, G. Srinivasaraghavan, Maulik Shah
Premonition of storage response class using Skyline ranked Ensemble method. HiPC (2014)
Jyotiska Nath Khasnabish, Mitali Sodhi, Jayati Deshmukh, G. Srinivasaraghavan
Detecting Programming Language from Source Code Using Bayesian Learning Techniques. MLDM (2014)
G. Srinivasaraghavan, Asish Mukhopadhyay
Orthogonal Edge Visibility Graphs of Polygons with Holes. Int. J. Comput. Geom. Appl. 10 (1) (2000)
R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan
Tight Bounds for Finding Degrees from the Adjacency Matrix. LATIN (1995)
G. Srinivasaraghavan, Asish Mukhopadhyay
A New Necessary Condition for the Vertex Visibility Graphs of Simple Polygons. Discret. Comput. Geom. 12 (1994)
R. Balasubramanian, Venkatesh Raman, G. Srinivasaraghavan
The Complexity of Finding Certain Trees in Tournaments. WADS (1993)
G. Srinivasaraghavan, Asish Mukhopadhyay
On the Notion of Completeness for Reconstruction Algorithms on Visibility Graphs. CCCG (1993)