Balaraman Ravindran

Cost-Sensitive Trees for Interpretable Reinforcement Learning
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
CIAMS: clustering indices-based automatic classification model selection
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Hypergraph partitioning using tensor eigenvalue decomposition
Systemic Literature Review - Unpacking values. How values change over time and link with personality traits and behaviours
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
A Survey of Adversarial Defences and Robustness in NLP
Physics-Informed Model-Based Reinforcement Learning
Financial Exclusion of Internal Migrant Workers of India during COVID-19: Can Digital Financial Inclusion be facilitated by AI?
AI and Data Science Centers in Top Indian Academic Institutions
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic
Multi-Variate Time Series Forecasting on Variable Subsets
Scaling Graph Propagation Kernels for Predictive Learning
Evolutionary Approach to Security Games with Signaling
Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress
Causal Contextual Bandits with Targeted Interventions
On Combining Bags to Better Learn from Label Proportions
Accurate and Interpretable AI models: Towards Deployable AI
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation
Scalable multi-product inventory control with lead time constraints using reinforcement learning
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
CombSGPO: A new algorithm to protect wildlife
NetGenes: A database of essential genes predicted using features from interaction networks
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
Scalable Multi-Product Inventory Control with Lead Time Constraints using Reinforcement Learning
GrabQC: Graph based Query Contextualization for automated ICD coding
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
MADRaS : Multi Agent Driving Simulator
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Hyperedge Prediction using Tensor Eigenvalue Decomposition
A semi-supervised approach to growing classification trees
Inferring customer occupancy status in for-hire vehicles using PU Learning
Is it hard to learn a classifier on this dataset?
Understanding Dynamic Scenes using Graph Convolution Networks
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
Dyvedeep: Dynamic variable effort deep neural networks
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
On Incorporating Structural Information to improve Dialogue Response Generation
Towards Transparent and Explainable Attention Models
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling
Let's Ask Again: Refine Network for Automatic Question Generation
Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning
Recovering from random pruning: On the plasticity of deep convolutional neural networks
An autoencoder approach to learning bilingual word representations