Balaraman Ravindran

About Balaraman Ravindran

Balaraman Ravindran, With an exceptional h-index of 43 and a recent h-index of 34 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Reinforcement Learning, Data Mining, Social Network Analysis, Text Analytics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guiding Offline Reinforcement Learning Using a Safety Expert

Generalized Bags for Learning from Label Proportions

InSaAF: Incorporating Safety through Accuracy and Fairness| Are LLMs ready for the Indian Legal Domain?

Hybrid self-supervised learning-based architecture for construction progress monitoring

A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Cost-Sensitive Trees for Interpretable Reinforcement Learning

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers

Balaraman Ravindran Information

University

Position

Professor of Computer Science

Citations(all)

6215

Citations(since 2020)

3841

Cited By

3666

hIndex(all)

43

hIndex(since 2020)

34

i10Index(all)

109

i10Index(since 2020)

87

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Balaraman Ravindran Skills & Research Interests

Reinforcement Learning

Data Mining

Social Network Analysis

Text Analytics

Top articles of Balaraman Ravindran

Title

Journal

Author(s)

Publication Date

Guiding Offline Reinforcement Learning Using a Safety Expert

Richa Verma

Durgesh Kalwar

Harshad Khadilkar

Balaraman Ravindran

2024/1/4

Generalized Bags for Learning from Label Proportions

2024/4/11

InSaAF: Incorporating Safety through Accuracy and Fairness| Are LLMs ready for the Indian Legal Domain?

arXiv preprint arXiv:2402.10567

Yogesh Tripathi

Raghav Donakanti

Sahil Girhepuje

Ishan Kavathekar

Bhaskara Hanuma Vedula

...

2024/2/16

Hybrid self-supervised learning-based architecture for construction progress monitoring

Automation in Construction

Varun Kumar Reja

Shreya Goyal

Koshy Varghese

Balaraman Ravindran

Quang Phuc Ha

2024/2/1

A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce

Omkar Shelke

Pranavi Pathakota

Anandsingh Chauhan

Hardik Meisheri

Harshad Khadilkar

...

2024/1/4

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Aravind Venugopal

Stephanie Milani

Fei Fang

Balaraman Ravindran

2024/5/6

Cost-Sensitive Trees for Interpretable Reinforcement Learning

Siddharth Nishtala

Balaraman Ravindran

2024/1/4

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers

Naganand Yadati

Tarun Kumar

Deepak Maurya

Balaraman Ravindran

Partha Talukdar

2024/4/17

Tackling the Class Imbalance Challenge for Software Defect Type Classification using Knowledge Augmented Method

Interface

Sangameshwar Patil

B Ravindran

2023

Physics-informed model-based reinforcement learning

Adithya Ramesh

Balaraman Ravindran

2023/6/6

Hypergraph partitioning using tensor eigenvalue decomposition

Plos one

Deepak Maurya

Balaraman Ravindran

2023/7/21

A SIMILARITY-AGNOSTIC REINFORCEMENT LEARNING APPROACH FOR LEAD OPTIMIZATION

Abhor Gupta

Sean Current

Balaraman Ravindran

Rohit Batra

Karthik Raman

2023/10/13

A Survey of Adversarial Defences and Robustness in NLP

Goyal Shreya

Sumanth Doddapaneni

Mitesh M Khapra

Balaraman Ravindran

2023

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts

arXiv preprint arXiv:2305.19111

Returaj Burnwal

Anirban Santara

Nirav P Bhatt

Balaraman Ravindran

Gaurav Aggarwal

2023/5/30

A deep network-based model of hippocampal memory functions under normal and Alzheimer’s disease conditions

Frontiers in Neural Circuits

Tamizharasan Kanagamani

V. Srinivasa Chakravarthy

Balaraman Ravindran

Ramshekhar N. Menon

2023/6/21

LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks

arXiv preprint arXiv:2312.03756

Gokul S Krishnan

Sarala Padi

Craig S Greenberg

Balaraman Ravindran

Dinesh Manoch

...

2023/12/4

CIAMS: clustering indices-based automatic classification model selection

International Journal of Data Science and Analytics

Sudarsun Santhiappan

Nitin Shravan

Balaraman Ravindran

2023/8/19

Clustering Indices based Automatic Classification Model Selection

arXiv preprint arXiv:2305.13926

Sudarsun Santhiappan

Nitin Shravan

Balaraman Ravindran

2023/5/23

Guided Offline RL Using a Safety Expert

Richa Verma

Kartik Bharadwaj

Harshad Khadilkar

Balaraman Ravindran

2023/6/6

Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus

Tamizharasan Kanagamani

Madhuvanthi Muliya

V Srinivasa Chakravarthy

Balaraman Ravindran

Ramshekhar N Menon

2023/12/4

See List of Professors in Balaraman Ravindran University(Indian Institute of Technology Madras)

Co-Authors

H-index: 134
Nick Jennings

Nick Jennings

Imperial College London

H-index: 94
Milind Tambe

Milind Tambe

Harvard University

H-index: 91
Andrew Barto

Andrew Barto

University of Massachusetts Amherst

H-index: 34
Mitesh Khapra

Mitesh Khapra

Indian Institute of Technology Madras

H-index: 33
K Madhava Krishna

K Madhava Krishna

International Institute of Information Technology, Hyderabad

H-index: 30
V Srinivasa Chakravarthy

V Srinivasa Chakravarthy

Indian Institute of Technology Madras

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