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events

RBCDSAI Seminar by Prof. Gugan Thoppe
May 2, 2023 04:00 PM to 05:00 PM
BT Seminar Hall
artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Distinguished Fellowship by Prof. Sriram Natarajan
April 25, 2023 to April 27, 2023 09:00 AM to 12:00 PM
IC&SR Hall 2
artificial intelligence , deep learning , reinforcement-learning
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IBSE ARP Talk - Prof. Vijay Tiwari
April 5, 2023 04:30 PM to 05:30 PM
IC&SR Hall 2
artificial intelligence , deep learning , reinforcement-learning
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Eighth RBCDSAI LatentView Colloquium by Dr. Rema Padman
March 16, 2023 05:00 PM to 06:30 PM
IC&SR Hall 2
LatentView-Colloquium , artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Seminar Series - Prof Lavanya Marla
January 3, 2023 10:30 AM to 11:30 AM
Seminar Hall, RBCDSAI
artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Seminar - Prof Madhav Marathe
December 15, 2022 04:00 PM to 05:00 PM
CRC301, IITM
artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Seminar - Gugan Thoppe
October 7, 2022 04:15 PM to 05:15 PM
Seminar Hall, Block I, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras
artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Seminar - Dr. Vivek Kumar
July 11, 2022 05:00 PM to 06:00 PM
Aryabhatta Hall, CSB 25, IITM
artificial intelligence , deep learning , reinforcement-learning
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Seventh RBCDSAI LatentView Colloquium by Prof. V. S. Subrahmanian
May 12, 2022 04:00 PM to 05:00 PM
Hybrid, CRC 302
LatentView-Colloquium , artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Seminar - Gugan Thoppe
April 19, 2022 04:00 PM to 05:00 PM
CRC, IITM
artificial intelligence , deep learning , reinforcement-learning
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RBCDSAI Distinguished Fellow Colloquium by Prof. Sriraam Natarajan
March 30, 2022 04:00 PM to 05:00 PM
CRC, IITM
artificial intelligence , deep learning , human-in-the-loop
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RBCDSAI 2-Day Workshop by Prof. Sriraam Natarajan
March 28, 2022 09:30 AM to 12:30 PM
CRC, IITM
artificial intelligence , deep learning , human-in-the-loop
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RBCDSAI Seminar - Balaji Vasan
March 25, 2022 03:00 PM to 04:00 PM
CRC, IITM
artificial intelligence , deep learning , human-in-the-loop
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people

Mitesh M. Khapra
Mitesh M. Khapra
Associate Professor
Statistical Machine Translation, Text Analytics, Deep Learning, Crowd-sourcing
Ragul S
Ragul S
Post Baccalaureate Fellow
Deep Learning, Medical Imaging
Utsav Dey
Utsav Dey
MS Scholar
Multi Armed Bandit, Deep Learning
Roshan M S B
Roshan M S B
PhD Scholar
Deep learning, NLP, Artificial metabolic pathway design
S Gokull
S Gokull
Post Baccalaureate Fellow
Deep Learning, Computer Vision, Mobile Robotics
Argha Boksi
Argha Boksi
PhD Student
Machine Learning, Deep Learning, Reinforcement Learning
Anish Abhijit Diwan
Anish Abhijit Diwan
Post Baccalaureate Fellow
Network Science, Deep Learning, Robotics
Balachander S
Balachander S
Image Processing, Deep Learning, Computer Vision
Prithaj Banerjee
Prithaj Banerjee
MS Scholar
Machine Learning, Deep Learning
Rohan Saphal
Rohan Saphal
Project Officer
Deep Reinforcement Learning, Deep Learning, Recommendation Systems, Robotic Control
Prasan Shedligeri
Prasan Shedligeri
PhD Scholar
Deep learning, Computational Photography, Computer Vision
Rajan Kumar Soni
Rajan Kumar Soni
MS Scholar
Machine Learning, Explainability of neural networks, Deep learning
Dhruv Ramani
Dhruv Ramani
Project Associate
Reinforcement Learning, Deep Learning
Akansh Maurya
Akansh Maurya
Post Baccalaureate Fellow
Explainable AI, Medical Imaging, Deep Learning
Ashwin K Raghu
Ashwin K Raghu
Deep Learning, Natural Language Processing
Ananya Sai
Ananya Sai
PhD Scholar
NLP, Deep learning
Lakshmi Narayan Pandey
Lakshmi Narayan Pandey
MS Scholar
Machine Learning, Deep Learning
Karthik Thiagarajan
Karthik Thiagarajan
MS Scholar
Deep Learning, Computer Vision, Interpretable machine learning, Image registration
Abhishek Rao
Abhishek Rao
Dual Degree
Deep learning, Proteins
Nikitha Moghe
Nikitha Moghe
MS Scholar
Natural Language Processing, Deep Learning, Dialog Systems, Representation Learning
Pritha Ganguly
Pritha Ganguly
MS Scholar
Deep Learning, Computer Vision, Visual Question Answering
Nitesh Methani
Nitesh Methani
MS Scholar
Deep Learning, Computer Vision, Visual Question Answering, Object Detection
Preksha Nema
Preksha Nema
PhD Scholar
Deep Learning, Natural Language Processing
Sivapriya Vellaichamy
Sivapriya Vellaichamy
Post Baccalaureate Fellow
Deep Learning, Reinforcement Learning
Sourav Kumar Mohanty
Sourav Kumar Mohanty
Project Associate
Machine Learning, Deep Learning, Representation Learning
Manoj Bharadhwaj
Manoj Bharadhwaj
MS Scholar
Deep Learning, Reinforcement Learning, Intelligent Transportation Systems, Explainable AI
Siddharth Nishtala
Siddharth Nishtala
MS Scholar
Deep Learning, Reinforcement Learning
Yadav Mahesh Lorik
Yadav Mahesh Lorik
Research Scholar
Machine Learning, Deep Learning
Rahul Vashisht
Rahul Vashisht
PhD Scholar
Theoretical Machine Learning, Deep Learning, Gaussian Processes, Computer Vision, NLP
Aravind Easwar
Aravind Easwar
MS Scholar
Causal Discovery, Machine Learning, Deep Learning

projects

Deep Learning Model for Chest X-ray Imaging
Ganapathy Krishnamurthi , Balaji Srinivasan
Deep Learning Model for Chest X-ray Imaging
deep learning healthcare COVID-19 image classification
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Interpretability of Deep Learning Models in Healthcare
Ganapathy Krishnamurthi , Balaji Srinivasan , B Ravindran
Interpretability of Deep Learning Models in Healthcare
deep learning interpretability healthcare
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Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
Balaji Srinivasan , Ganapathy Krishnamurthi , Sivaram Ambikasaran
Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
autonomous PDE solvers deep learning convolutional neural networks field inversion machine learning
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Developing Temporal Convolutional Neural Networks comprising Nonlinear Oscillators for Non-Destructive Evaluation using Active Thermographic images
Srinivasa Chakravarthy V , Krishnan Balasubramanian
Developing Temporal Convolutional Neural Networks comprising Nonlinear Oscillators for Non-Destructive Evaluation using Active Thermographic images
deep learning non-destructive evaluation
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Attention Mechanisms in Deep Neural Networks
Mitesh M Khapra
Attention Mechanisms in Deep Neural Networks
deep learning reinforcement learning transfer learning attention mechanism in deep learning natural language processing
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publications

Scaling Graph Propagation Kernels for Predictive Learning
Scaling Graph Propagation Kernels for Predictive Learning
Priyesh Vijayan , Yash Chandak , Mitesh M. Khapra and more
Frontiers in Big Data - Data Mining and Management
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chauhary , B Ravindran
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Towards Building ASR Systems for the Next Billion Users
Towards Building ASR Systems for the Next Billion Users
Tahir Javed , Sumanth Doddapaneni , Abhigyan Raman and more
To appear in the Proceedings of the Thirty-Sixth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2022)
CDiNN – Convex difference neural networks
CDiNN – Convex difference neural networks
Parameswaran Sankaranarayanan , Raghunathan Rengaswamy
Neurocomputing
Unsupervised Deep Video Denoising
Unsupervised Deep Video Denoising
Dev Yashpal Sheth , Sreyas Mohan , Joshua Vincent and more
International Conference on Computer Vision (ICCV 2021)
Semi-Supervised Deep Learning for Multiplex Networks
Semi-Supervised Deep Learning for Multiplex Networks
Anasua Mitra , Priyesh Vijayan" , Ranbir Sanasam" and more
To appear in the proceedings of the Twenty Seventh ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi
Frontiers in computational neuroscience
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
Deepak Mittal , Avinash Reddy , Gitakrishnan Ramadurai and more
Communication Systems & Networks
A neural attention based approach for clickstream mining
A neural attention based approach for clickstream mining
T. N Chandramohan , B Ravindran
Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data
Recovering from random pruning: On the plasticity of deep convolutional neural networks
Recovering from random pruning: On the plasticity of deep convolutional neural networks
Deepak Mittal , Shweta Bhardwaj , Mitesh M. Khapra and more
In 2018 IEEE Winter Conference on Applications of Computer Vision
Correlational neural networks
Correlational neural networks
Sarath Chandar , Mitesh M Khapra , Hugo Larochelle and more
Neural computation

research

Safety and Stability Preserving Reinforcement Learning
Safety and Stability Preserving Reinforcement Learning
reinforcement learning deep learning control theory autonomous systems
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