Balaraman Ravindran

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 187

Top Venues

Publications

Sangameshwar Patil, Balaraman Ravindran
Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis. MSR (2024)
Siddharth Nishtala, Balaraman Ravindran
Cost-Sensitive Trees for Interpretable Reinforcement Learning. COMAD/CODS (2024)
Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. COMAD/CODS (2024)
Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran
TOMBoost: a topic modeling based boosting approach for learning with class imbalance. Int. J. Data Sci. Anal. 17 (4) (2024)
Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. AAMAS (2024)
Ambreesh Parthasarathy, Aditya Phalnikar, Ameen Jauhar, Dhruv Somayajula, Gokul S. Krishnan, Balaraman Ravindran
Participatory Approaches in AI Development and Governance: A Principled Approach. CoRR (2024)
Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran
Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS (2024)
Ambreesh Parthasarathy, Aditya Phalnikar, Gokul S. Krishnan, Ameen Jauhar, Balaraman Ravindran
Participatory Approaches in AI Development and Governance: Case Studies. CoRR (2024)
Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula, Gokul S. Krishnan, Shreya Goyal, Anmol Goel, Balaraman Ravindran, Ponnurangam Kumaraguru
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain? CoRR (2024)
Atharvan Dogra, Ameet Deshpande, John Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. CoRR (2024)
Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. 35 (23) (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM (2023)
Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Clustering Indices based Automatic Classification Model Selection. CoRR (2023)
Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR (2023)
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
A Survey of Adversarial Defenses and Robustness in NLP. ACM Comput. Surv. 55 (14s) (2023)
Adithya Ramesh, Balaraman Ravindran
Physics-Informed Model-Based Reinforcement Learning. L4DC (2023)
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran, Pradeep Shenoy
Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning. AAMAS (2023)
Gokul S. Krishnan, Sarala Padi, Craig S. Greenberg, Balaraman Ravindran, Dinesh Manocha, Ram D. Sriram
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks. CoRR (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR (2023)
Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. KDD (2023)
Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication. PLoS Comput. Biol. 19 (4) (2023)
Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. LoG (2023)
Returaj Burnwal, Anirban Santara, Nirav P. Bhatt, Balaraman Ravindran, Gaurav Aggarwal
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. CoRR (2023)
Tamizharasan Kanagamani, Madhuvanthi Muliya, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ramshekhar N. Menon
Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus. PReMI (2023)
Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Harshad Khadilkar, Hardik Meisheri, Balaraman Ravindran
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce. CoRR (2023)
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM (2022)
Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran
On Combining Bags to Better Learn from Label Proportions. AISTATS (2022)
Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. FUSION (2022)
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Balaraman Ravindran, Pradeep Shenoy
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning. CoRR (2022)
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
A Survey in Adversarial Defences and Robustness in NLP. CoRR (2022)
Joseph H. R. Isaac, Manivannan Muniyandi, Balaraman Ravindran
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation. Frontiers Artif. Intell. 5 (2022)
Chandrasekar Subramanian, Balaraman Ravindran
Causal Contextual Bandits with Targeted Interventions. ICLR (2022)
Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34 (3) (2022)
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
GrabQC: Graph based Query Contextualization for automated ICD coding. CoRR (2022)
Adithya Ramesh, Balaraman Ravindran
Physics-Informed Model-Based Reinforcement Learning. CoRR (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR (2022)
Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM (2022)
Sapana Chaudhary, Balaraman Ravindran
Smooth Imitation Learning via Smooth Costs and Smooth Policies. COMAD/CODS (2022)
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
Multi-Variate Time Series Forecasting on Variable Subsets. KDD (2022)
Balaraman Ravindran, Sunita Sarawagi, Aditi Jain
AI and data science centers in top Indian academic institutions. Commun. ACM 65 (11) (2022)
Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022)
Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic. CVPR Workshops (2022)
Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data 5 (2022)
Sruthikeerthi Nandita, Goutham Zampani, Gokul S. Krishnan, Gitakrishnan Ramadurai, Balaraman Ravindran
Automated Incident Location Identification for EMS from Ambulance Geospatial Data. COMAD/CODS (2022)
Neeraja Kirtane, Jeshuren Chelladurai, Balaraman Ravindran, Ashish V. Tendulkar
ReGrAt: Regularization in Graphs using Attention to handle class imbalance. CoRR (2022)
Pranshu Malviya, Balaraman Ravindran, Sarath Chandar
TAG: Task-based Accumulated Gradients for Lifelong learning. CoLLAs (2022)
Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
An Active Learning Framework for Efficient Robust Policy Search. COMAD/CODS (2022)
Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
Evolutionary Approach to Security Games with Signaling. IJCAI (2022)
Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
Evolutionary Approach to Security Games with Signaling. CoRR (2022)
Jahnvi Patel, Devika Jay, Balaraman Ravindran, K. Shanti Swarup
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1. CoRR (2021)
Sapana Chaudhary, Balaraman Ravindran
Smooth Imitation Learning via Smooth Costs and Smooth Policies. CoRR (2021)
Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran
Relational Boosted Bandits. AAAI (2021)
Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran
An Enhanced Advising Model in Teacher-Student Framework using State Categorization. AAAI (2021)
Vaishnavi Muralidharan, Nandan Sudarsanam, Balaraman Ravindran
Inferring customer occupancy status in for-hire vehicles using PU Learning. COMAD/CODS (2021)
Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR (2021)
Pranshu Malviya, Balaraman Ravindran, Sarath Chandar
TAG: Task-based Accumulated Gradients for Lifelong learning. CoRR (2021)
Karthik Visweswariah, Beethika Tripathi, Mitesh M. Khapra, Balaraman Ravindran
A Joint Training Framework for Open-World Knowledge Graph Embeddings. AKBC (2021)
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
SEERL: Sample Efficient Ensemble Reinforcement Learning. AAMAS (2021)
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. 70 (2021)
Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran
Metric Learning for comparison of HMMs using Graph Neural Networks. ACML (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. ICAPS (2021)
Sudarsun Santhiappan, Balaraman Ravindran
A semi-supervised approach to growing classification trees. COMAD/CODS (2021)
Amrit Diggavi Seshadri, Balaraman Ravindran
Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis. CoRR (2021)
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Semi-Supervised Deep Learning for Multiplex Networks. CoRR (2021)
Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. AAMAS (2021)
Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Is it hard to learn a classifier on this dataset? COMAD/CODS (2021)
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. CoRR (2021)
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. ACML (2021)
Nahas Pareekutty, Francis James, Balaraman Ravindran, Suril Vijaykumar Shah
qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems. CoRR (2021)
Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
Dynamic probabilistic logic models for effective abstractions in RL. CoRR (2021)
Deepak Maurya, Balaraman Ravindran
Hyperedge Prediction using Tensor Eigenvalue Decomposition. CoRR (2021)
Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
Semi-Supervised Deep Learning for Multiplex Networks. KDD (2021)
Joseph Hosanna Raj Isaac, Manivannan Muniyandi, Balaraman Ravindran
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation. Frontiers Virtual Real. 2 (2021)
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
GrabQC: Graph Based Query Contextualization for Automated ICD Coding. PAKDD (1) (2021)
Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
Rate of change analysis for interestingness measures. Knowl. Inf. Syst. 62 (1) (2020)
Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. CoRR (2020)
Sanjay Ganapathy, Swagath Venkataramani, Giridhur Sriraman, Balaraman Ravindran, Anand Raghunathan
DyVEDeep: Dynamic Variable Effort Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19 (3) (2020)
Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM (2020)
Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra
On Incorporating Structural Information to improve Dialogue Response Generation. CoRR (2020)
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. IV (2020)
Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. CoRR (2020)
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
SEERL: Sample Efficient Ensemble Reinforcement Learning. CoRR (2020)
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal. CoRR (2020)
Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
HPRA: Hyperedge Prediction using Resource Allocation. CoRR (2020)
Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
HPRA: Hyperedge Prediction using Resource Allocation. WebSci (2020)
Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. ECML/PKDD (2) (2020)
Abhishek Ghose, Balaraman Ravindran
Interpretability With Accurate Small Models. Frontiers Artif. Intell. 3 (2020)
Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
ExTra: Transfer-guided Exploration. AAMAS (2020)
Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran
Relational Boosted Bandits. CoRR (2020)
Siddharth Nayak, Balaraman Ravindran
Reinforcement Learning for Improving Object Detection. CoRR (2020)
Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. 5 (1) (2020)
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Understanding Dynamic Scenes using Graph Convolution Networks. IROS (2020)
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks. ICLR (2020)
Sangameshwar Patil, Balaraman Ravindran
Predicting software defect type using concept-based classification. Empir. Softw. Eng. 25 (2) (2020)
Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement. CoRR (2020)
Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop Namboodiri
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. CoRR (2020)
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks. CoRR (2020)
Anand A. Rajasekar, Karthik Raman, Balaraman Ravindran
Goal directed molecule generation using Monte Carlo Tree Search. CoRR (2020)
Siddharth Nayak, Balaraman Ravindran
Reinforcement Learning for Improving Object Detection. ECCV Workshops (5) (2020)
Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). AAAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Balaraman Ravindran