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events

Ninth RBCDSAI LatentView Colloquium by Prof. Leslie Valiant
January 5, 2024 09:00 AM to 10:00 AM
CS15, CSE Department, IIT Madras
2nd RBCDSAI AI/ML Conclave on Manufacturing and Automotive Applications
August 29, 2019 09:00 AM
ICSR Auditorium, IIT Madras
Artificial Intelligence & Machine Learning Conclave
October 23, 2018 09:30 AM
ICSR Auditorium, IIT Madras
ACM India Summer School 2018
June 4, 2018 09:00 AM
Goa University, Goa

news

NetGenes - a web database for computationally predicted essential genes
bioRxiv
Researchers at RBCDSAI developed a machine learning model which identified more than 3.5 million …
Data, AI and babies
The Hindu BusinessLine
Featuring IBSE’s work on developing a model to predict the possibility of preterm births to …
Data Science for Cricket
ACM Datascience
Data Science, ML, AI are the flavors of the season all over the world and India is no exception. …
IIT Madras Alumni Association Organizes Hackathon To Solve Traffic Problem In Indian City
ndtv
The scenario for the Hackathon involved an Indian Smart City’s Traffic Police Department which …

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people

Balaraman Ravindran
Head, Robert Bosch Centre for Data Science and AI, Professor, Mindtree Faculty Fellow

Specialization:

projects

publications

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Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning

Jan-Michael Y. Carrillo, Vijith Parambil, Tarak K. Patra, Zhan Chen, Thomas P. Russell, Subramanian K. R. S. Sankaranarayanan, Bobby G. Sumpter, Rohit Batra,

The Journal of Physical Chemistry B 2024 128 (17), 4220-4230

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Hypergraph partitioning using tensor eigenvalue decomposition

Deepak Maurya, Balaraman Ravindran,

To appear in the proceedings of the Public Library of Science (PLOS ONE)

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MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication

Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan,

PLOS Computational Biology

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AI and Data Science Centers in Top Indian Academic Institutions

Balaraman Ravindran, Sunita Sarawagi, Aditi Jain,

Communications of the ACM

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TOMBoost: a topic modeling based boosting approach for learning with class imbalance

Sudarsun Santhiappan, Jeshuren Chelladurai, B Ravindran,

International Journal of Data Science and Analytics

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Byzantine Spectral Ranking

Arnhav Datar, Arun Rajkumar, John Augustine,

Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

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Multi-Variate Time Series Forecasting on Variable Subsets

Jatin Chauhan, Aravindan Raghuveer Jay, Nandy Rishi Saket, Balaraman Ravindran,

ACM SIGKDD 2022

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Domain-Agnostic Constrastive Representations for Learning from Label Proportions

Nandy J, Saket R, Jain P, Chauhan J, Ravindran B, Raghuveer A,

31st ACM International Conference on Information and Knowledge Management (CIKM 2022).

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Integration of machine learning and first principles models

Lokesh Rajulapati, Sivadurgaprasad Chinta, Bala Shyamala, Raghunathan Rengaswamy,

AIChE Journal

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On Combining Bags to Better Learn from Label Proportions

Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran,

The 25th International Conference on Artificial Intelligence and Statistics - AISTATS 2022

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Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets

Depen Morwani, Harish G.Ramaswamy,

33rd International Conference on Algorithmic Learning Theory (ALT) -2022

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An Enhanced Advising Model in Teacher-Student framework using State Categorization

Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, B Ravindran,

Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660

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Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective

Anasua Mitra, Priyesh Vijayan, Ranbir Sanasam, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran,

IEEE International Conference on Data Mining (ICDM 2022)

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Aided Selection of Sampling Methods for Imbalanced Data Classification

Deep Sahni, Satya Jayadev Pappu, Nirav Bhatt,

In 8th ACM IKDD CODS and 26th COMAD.

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Consistent plug-in classifiers for complex objectives and constraints

Shiv Kumar Tavker, Harish Guruprasad, Harikrishna Narasimhan,

Advances in Neural Information Processing Systems, 33

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Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets

Depen Morwani, Harish G. Ramaswamy,

arXiv:2010.12909

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Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, B Ravindran,

Applied Network Science

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HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar, K Darwin, Srinivasan Parthasarathy, B Ravindran,

In 12th ACM Conference on Web Science

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Machine Learning Applications for Mass Spectrometry-Based Metabolomics

W.Liebal, N T.Phan, Malvika Sudhakar, Karthik Raman, Lars M. Blank,

Metabolites

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Dyvedeep: Dynamic variable effort deep neural networks

Sanjay Ganapathy, Swagath Venkataramani, Giridhur Sriraman, Balaraman Ravindran, Anand Raghunathan,

ACM Transactions on Embedded Computing Systems

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Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size

Nandan Sudarsanam, Ramya Chandran, Daniel D Frey,

Journal of Mechanical Design

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Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Harish G. Ramaswamy, Saurabh Desai,

The IEEE Winter Conference on Applications of Computer Vision

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PlotQA: Reasoning over Scientific Plots

Nitesh Methani, Pritha Ganguly, Mitesh M Khapra, Pratyush Kumar,

In the IEEE Winter Conference on Applications of Computer Vision

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Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort

Ramya Vijayram, Nikhita Damaraju, Ashley Xavier, Koundinya Desiraju, Ramachandran Thiruvengadam, Raghunathan Rengasamy, Himanshu Sinha, Shinjini Bhatnagar, others,

medRxiv

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EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Sanchari Sen, B Ravindran, Anand Raghunathan,

International Conference on Learning Representations

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Interpretability With Accurate Small Models

Abhishek Ghose, B Ravindran,

Frontiers in Artificial Intelligence

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Predicting software defect type using concept-based classification

Sangameshwar Patil, B Ravindran,

Empirical Software Engineering

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Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, B Ravindran, Anoop Namboodiri,

In 2020 IEEE Intelligent Vehicles Symposium

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Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems

Suman Banerjee, Mitesh M Khapra,

Transactions of the Association for Computational Linguistics

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A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, B Ravindran,

International Conference on Complex Networks and Their Applications

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Extra: Transfer-guided exploration

Anirban Santara, Rishabh Madan, B Ravindran, Pabitra Mitra,

In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems

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Rate of Change Analysis for Interestingness Measures

Nandan Sudarsanam, Nishanth Kumar, B Ravindran,

Knowledge and Information Systems (KAIS) Journal, Springer

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Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

Deepak Mittal, Shweta Bhardwaj, Mitesh M Khapra, B Ravindran,

Journal of Machine Vision and Applications, Springer.

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Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing

Athindran Ramesh Kumar, B Ravindran, Anand Raghunathan,

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2019)

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On Controllable Sparse Alternatives to Softmax

Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh Khapra, Karthik Sankaranarayanan, Harish G Ramaswamy,

Advances in Neural Information Processing Systems

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Consistent algorithms for multiclass classification with a reject option

Harish G Ramaswamy, Ambuj Tewari, Shivani Agarwal,

arXiv preprint arXiv:1505.04137

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Dynamic Action Repetition for Deep Reinforcement Learning

Aravind S Lakshminarayanan, Sahil Sharma, B Ravindran,

Proceedings of the AAAI Conference on Artificial Intelligence

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An autoencoder approach to learning bilingual word representations

Sarath Chandar AP, Stanislas Lauly, Hugo Larochelle, Mitesh Khapra, Balaraman Ravindran, Vikas C Raykar, Amrita Saha,

Advances in Neural Information Processing Systems