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events

2nd RBCDSAI AI/ML Conclave on Manufacturing and Automotive Applications
August 29, 2019 09:00 AM
ICSR Auditorium, IIT Madras
conclave , machine learning , artificial intelligence
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Artificial Intelligence & Machine Learning Conclave
October 23, 2018 09:30 AM
ICSR Auditorium, IIT Madras
conclave , machine learning , artificial intelligence
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ACM India Summer School 2018
June 4, 2018 09:00 AM
Goa University, Goa
summer school , machine learning
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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 …
essential genes , network , machine learning
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Data, AI and babies
The Hindu BusinessLine
Featuring IBSE’s work on developing a model to predict the possibility of preterm births to …
Machine Learning , Artificial Intelligence , Preterm birth
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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. …
artificial intelligence , machine learning
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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 …
machine learning , contest
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newsletter

Q4 2022
Newsletter
artificial intelligence , machine learning
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Q3 2022
Newsletter
artificial intelligence , machine learning
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Q2 2022
Newsletter
artificial intelligence , machine learning
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Q1 2022
Newsletter
artificial intelligence , machine learning
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Q4 2021
Newsletter
artificial intelligence , machine learning
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Annual Newsletter 2020-2021
Newsletter
Artificial Intelligence , Machine learning , Consortium , Annual
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Q3 2021
Newsletter
artificial intelligence , Machine learning , Consortium
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Q2 2021
Newsletter
artificial intelligence , machine learning
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Q1 2021
Newsletter
artificial intelligence , machine learning
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Q4 2020
Newsletter
artificial intelligence , machine learning
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Q3 2020
Newsletter
artificial intelligence , machine learning
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Q2 2020
Newsletter
artificial intelligence , machine learning
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Q4 2019
Newsletter
artificial intelligence , colloquium , machine learning , workshop
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Q4 2018
Newsletter
artificial intelligence , machine learning , conclave , MoU
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people

Balaraman Ravindran
Balaraman Ravindran
Head, Robert Bosch Centre for Data Science and AI
Professor
Mindtree Faculty Fellow
Machine learning, Reinforcement learning, Social Network Analysis, Data and text mining
Arun RajKumar
Arun RajKumar
Assistant Professor
Machine Learning, Rank Aggregation, Statistical Learning
Harish Guruprasad
Harish Guruprasad
Assistant Professor
Machine Learning, Learning Theory and Optimisation
Ashish Tendulkar
Ashish Tendulkar
Machine Learning Architect, Google Research
Natural Language Processing, Machine Learning, Computational Biology
Dipra Bhagat
Dipra Bhagat
MS Scholar
Machine Learning, Bioinformatics
Omkar Tanaji Tupe
Omkar Tanaji Tupe
Project Associate
Machine Learning, Explainable AI
Argha Boksi
Argha Boksi
PhD Student
Machine Learning, Deep Learning, Reinforcement Learning
Prithaj Banerjee
Prithaj Banerjee
MS Scholar
Machine Learning, Deep Learning
Ritwiz Kamal
Ritwiz Kamal
PhD scholar
Machine Learning, Bioinformatics
Venkatesh K
Venkatesh K
Junior Research Fellow
Bioinformatics, Machine Learning
Srinivas Sridharan
Srinivas Sridharan
Project Associate
Machine Learning
Sriram R
Sriram R
M Tech
Network Biology, Probabilistic Graphical Model, Machine Learning
Pranshu Malviya
Pranshu Malviya
MS Scholar
Time series, Machine Learning
Brintha Vijayakumar Padmavathy
Brintha Vijayakumar Padmavathy
PhD Scholar
Probabilistic Graphical Models, Computational biology, Machine learning
P Krishna Kumar
P Krishna Kumar
PhD Scholar
Machine Learning, Theory of deep learning
Rajan Kumar Soni
Rajan Kumar Soni
MS Scholar
Machine Learning, Explainability of neural networks, Deep learning
Abdul Bakey Mir
Abdul Bakey Mir
Ph.D Scholar
Machine Learning, Rank Aggregation
Sriram R
Sriram R
PhD Scholar
Data Analytics, Machine Learning
Vishal Raj
Vishal Raj
Post Baccalaureate Fellow
Machine learning, Data Science, Artificial Intelligence
Saurabh Desai
Saurabh Desai
Project Associate
Artificial Intelligence, Computer Vision, Machine Learning, Interpretability and Deep Learning
Lakshmi Narayan Pandey
Lakshmi Narayan Pandey
MS Scholar
Machine Learning, Deep Learning
Abhijeet Vjas
Abhijeet Vjas
Dual degree
Machine Learning
Anusha Kumar
Anusha Kumar
PhD Scholar
Data Analytics, Machine Learning
Ramya Chandran
Ramya Chandran
PhD Scholar
Experimentation, Applied Statistics, Machine Learning
Sourav Kumar Mohanty
Sourav Kumar Mohanty
Project Associate
Machine Learning, Deep Learning, Representation Learning
Harry Antony
Harry Antony
Project Associate
Machine Learning, Loop Learning, Cognitive Science
Amrit Seshadri Diggavi
Amrit Seshadri Diggavi
Post Baccalaureate Fellow
Machine learning, AI
Anshuk Uppal
Anshuk Uppal
Post Baccalaureate Fellow
Ranking, Machine Learning, Bayesian DL, RL
Yadav Mahesh Lorik
Yadav Mahesh Lorik
Research Scholar
Machine Learning, Deep Learning
Sudha S
Sudha S
MS (Research)
Multi-Armed Bandits, Machine Learning, Intelligent Tutoring Systems
Joseph Hosanna Raj Isaac
Joseph Hosanna Raj Isaac
Virtual Reality, Machine Learning, Machine Vision, Natural Language Processing
Anna Mary Philip
Anna Mary Philip
PhD Scholar
Data Analytics, Machine Learning"
Aravind Easwar
Aravind Easwar
MS Scholar
Causal Discovery, Machine Learning, Deep Learning
Venkatesh Mohan Sharma
Venkatesh Mohan Sharma
Project Associate
DATA SCIENCE, MACHINE LEARNING"

projects

Data Driven Monitoring of Water Distribution Networks
Sridharakumar Narasimhan
Data Driven Monitoring of Water Distribution Networks
internet of things machine learning flow modelling water-distribution networks
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Domain agnostic methods for integration of prior knowledge in learning algorithms
Raghunathan Rengaswamy
Domain agnostic methods for integration of prior knowledge in learning algorithms
machine learning data science domain knowledge integration
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publications

MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Tarun Kumar , Ramanathan Sethuraman , Sanga Mitra and more
PLOS Computational Biology
AI and Data Science Centers in Top Indian Academic Institutions
AI and Data Science Centers in Top Indian Academic Institutions
Balaraman Ravindran , Sunita Sarawagi , Aditi Jain
Communications of the ACM
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
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
Byzantine Spectral Ranking
Byzantine Spectral Ranking
Arnhav Datar , Arun Rajkumar , John Augustine
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
Multi-Variate Time Series Forecasting on Variable Subsets
Multi-Variate Time Series Forecasting on Variable Subsets
Jatin Chauhan , Aravindan Raghuveer Jay , Nandy Rishi Saket and more
ACM SIGKDD 2022
Domain-Agnostic Constrastive Representations for Learning from Label Proportions
Domain-Agnostic Constrastive Representations for Learning from Label Proportions
Nandy J , Saket R , Jain P and more
31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
Integration of machine learning and first principles models
Integration of machine learning and first principles models
Lokesh Rajulapati , Sivadurgaprasad Chinta , Bala Shyamala and more
AIChE Journal
On Combining Bags to Better Learn from Label Proportions
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
Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets
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
An Enhanced Advising Model in Teacher-Student framework using State Categorization
An Enhanced Advising Model in Teacher-Student framework using State Categorization
Daksh Anand , Vaibhav Gupta , Praveen Paruchuri and more
Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Anasua Mitra , Priyesh Vijayan , Ranbir Sanasam and more
IEEE International Conference on Data Mining (ICDM 2022)
Aided Selection of Sampling Methods for Imbalanced Data Classification
Aided Selection of Sampling Methods for Imbalanced Data Classification
Deep Sahni , Satya Jayadev Pappu , Nirav Bhatt
In 8th ACM IKDD CODS and 26th COMAD.
Consistent plug-in classifiers for complex objectives and constraints
Consistent plug-in classifiers for complex objectives and constraints
Shiv Kumar Tavker , Harish Guruprasad , Harikrishna Narasimhan
Advances in Neural Information Processing Systems, 33
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets
Depen Morwani , Harish G. Ramaswamy
arXiv:2010.12909
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan and more
Applied Network Science
HPRA: Hyperedge Prediction using Resource Allocation
HPRA: Hyperedge Prediction using Resource Allocation
Tarun Kumar , K Darwin , Srinivasan Parthasarathy and more
In 12th ACM Conference on Web Science
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
W.Liebal , N T.Phan , Malvika Sudhakar and more
Metabolites
Dyvedeep: Dynamic variable effort deep neural networks
Dyvedeep: Dynamic variable effort deep neural networks
Sanjay Ganapathy , Swagath Venkataramani , Giridhur Sriraman and more
ACM Transactions on Embedded Computing Systems
Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size
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
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization
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
PlotQA: Reasoning over Scientific Plots
PlotQA: Reasoning over Scientific Plots
Nitesh Methani , Pritha Ganguly , Mitesh M Khapra and more
In the IEEE Winter Conference on Applications of Computer Vision
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
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 and more
medRxiv
Novel ratio-metric features enable the identification of new driver genes across cancer types
Novel ratio-metric features enable the identification of new driver genes across cancer types
Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman
Scientific Reports
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Sanchari Sen , B Ravindran , Anand Raghunathan
International Conference on Learning Representations
Interpretability With Accurate Small Models
Interpretability With Accurate Small Models
Abhishek Ghose , B Ravindran
Frontiers in Artificial Intelligence
Predicting software defect type using concept-based classification
Predicting software defect type using concept-based classification
Sangameshwar Patil , B Ravindran
Empirical Software Engineering
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Sravan Mylavarapu , Mahtab Sandhu , Priyesh Vijayan and more
In 2020 IEEE Intelligent Vehicles Symposium
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems
Suman Banerjee , Mitesh M Khapra
Transactions of the Association for Computational Linguistics
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering
Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan and more
International Conference on Complex Networks and Their Applications
Extra: Transfer-guided exploration
Extra: Transfer-guided exploration
Anirban Santara , Rishabh Madan , B Ravindran and more
In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Rate of Change Analysis for Interestingness Measures
Rate of Change Analysis for Interestingness Measures
Nandan Sudarsanam , Nishanth Kumar , B Ravindran
Knowledge and Information Systems (KAIS) Journal, Springer
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal , Shweta Bhardwaj , Mitesh M Khapra and more
Journal of Machine Vision and Applications, Springer.
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
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)
On Controllable Sparse Alternatives to Softmax
On Controllable Sparse Alternatives to Softmax
Anirban Laha , Saneem Ahmed Chemmengath , Priyanka Agrawal and more
Advances in Neural Information Processing Systems
Consistent algorithms for multiclass classification with a reject option
Consistent algorithms for multiclass classification with a reject option
Harish G Ramaswamy , Ambuj Tewari , Shivani Agarwal
arXiv preprint arXiv:1505.04137
Network-based features enable prediction of essential genes across diverse organisms
Network-based features enable prediction of essential genes across diverse organisms
Karthik Azhagesan , B Ravindran , Karthik Raman
PloS one
Dynamic Action Repetition for Deep Reinforcement Learning
Dynamic Action Repetition for Deep Reinforcement Learning
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
Proceedings of the AAAI Conference on Artificial Intelligence
An autoencoder approach to learning bilingual word representations
An autoencoder approach to learning bilingual word representations
Sarath Chandar AP , Stanislas Lauly , Hugo Larochelle and more
Advances in Neural Information Processing Systems

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