Machine Learning



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


NetGenes - a web database for computationally predicted essential genes
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
The scenario for the Hackathon involved an Indian Smart City’s Traffic Police Department which …



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




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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 & more

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 & more


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Domain-Agnostic Constrastive Representations for Learning from Label Proportions

Nandy J , Saket R , Jain P & more

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 & more

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 & more

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 & more

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


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Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan & more

Applied Network Science

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HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar , K Darwin , Srinivasan Parthasarathy & more

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 & more


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Dyvedeep: Dynamic variable effort deep neural networks

Sanjay Ganapathy , Swagath Venkataramani , Giridhur Sriraman & more

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 & more

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 & more


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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 & more

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 & more

International Conference on Complex Networks and Their Applications

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Extra: Transfer-guided exploration

Anirban Santara , Rishabh Madan , B Ravindran & more

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 & more

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 & more

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 & more

Advances in Neural Information Processing Systems