B Ravindran

Metric Learning for comparison of HMMs using Graph Neural Networks
A Joint Training Framework for Open-World Knowledge Graph Embeddings
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
SEERL: Sample Efficient Ensemble Reinforcement Learning
Relational Boosted Bandits
How COVID-19 impacts population movement: A data-driven analysis to study population behavior during a pandemic
AI and Ethics for the Indian Context
Interpretability of Deep Learning Models in Healthcare
Predicting Essential Genes through Network Approach: Deciphering basis of Life
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Let's Ask Again: Refine Network for Automatic Question Generation
Extra: Transfer-guided exploration
Learning to Multi-Task by Active Sampling
RAIL: Risk-Averse Imitation Learning
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates
Class Imbalance Learning
Learning to repeat: Fine grained action repetition for deep reinforcement learning
Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain
Dynamic Action Repetition for Deep Reinforcement Learning
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Dynamic frame skip deep q network
HEMI: Hyperedge Majority Influence Maximization
Trust and distrust across coalitions: shapley value based centrality measures for signed networks
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources
Parallelization of game theoretic centrality algorithms
Near optimal strategies for targeted marketing in social networks
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.
CEIL: a scalable, resolution limit free approach for detecting communities in large networks.
Scalable Positional Analysis for Studying Evolution of Nodes in Networks