Welcome to the IISc ML Lab
The Machine Learning Lab of the Department of Computer Science and Automation at Indian Institute of Science was setup to study theoretical and applied aspects of machine learning in various domains. Our aim is to explore and understand artificial intelligence, including machine learning, deep learning, numerical optimization, and natural language processing and to perform research on their applicability in various domains.
To this end, we develop numerous machine learning algorithms and tools for complex real world applications. We want to be able to build AI enabled systems that solve problems for social good (see Publications). We are actively pursuing applications in the area of computational biology, object detection in images, video segmentation and summarization, detection of rare topics in text documents, statistical modeling of computer systems.
We are located at Indian Institute of Science, Bangalore which is the silicon valley of India. We are also collaborating with industries as well as other universities for cutting edge research.
We are unable to respond to part-time, short-term (less than one year) and/or remote student mentorship requests. For open positions, see the opportunities tab.
Our collaborators:
News
2024Paper titled DisCEdit: Model Editing by Identifying Discriminative Components by Chaitanya Murti and Chiranjib Bhattacharyya published in NeurIPS 2024
Paper titled Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms by Marc Wanner (Chalmers), Laura Lewis (Cambridge), Chiranjib Bhattacharyya (IIsc), Devdatt Dubhashi (Chalmers), and Alexandru Gheorghiu (Chalmers) published in NeurIPS 2024
Paper titled Random Separating Hyperplane Theorem and Learning Polytopes by Chiranjib Bhattacharyya (IISc), Ravindran Kannan (CMU), and Amit Kumar (IIT Delhi) published in ICALP 2024.
Paper titled LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields by Chaitanya Murti, Dhruva Kashyap, and Chiranjib Bhattacharyya published in AISTATS 2024
Paper titled Decision time: illuminating performance in India's district courts by Varsha Aithala (NLSIU), Anushka Sachan (NSLIU), Srijoni Sen (NLSIU), Himanshu Payal (IISc), and Chiranjib Bhattacharyya (IISc) published in Cambridge Data & Policy, Vol. 6.
2023Paper discussing Technical challenges in diagnosing Chest Xrays through Mobile phones, such as those launched in XraySetu, is now available.
Paper titled TVSPrune - Pruning Nondiscriminative Filters via Total Variation Separability of Intermediate Filters without Fine Tuning by Chaitanya Murti (IISc), Tanay Narshana (observe.ai), and Chiranjib Bhattacharyya (IISc) published in ICLR 2023.
Paper titled DFPC - Data Flow Driven Pruning of Coupled Channels without Data by Tanay Narshana (observe.ai), Chaitanya Murti (IISc), and Chiranjib Bhattacharyya (IISc) published in ICLR 2023.
