News
News from the Machine Learning Lab.
| May 01, 2026 | The paper “Blending Neural Control Density Functions for Stabilization and Safety” by Sahil Chaudhary, Chaitanya Murti, and Chiranjib Bhattacharyya was published in ICML 2026. |
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| Sep 18, 2025 | The paper “On Optimal Steering to Achieve Exact Fairness” by Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, and Rajiv Ratn Shah was published in NeurIPS 2025. |
| Sep 18, 2025 | The paper “ModHiFi: Identifying High Fidelity Predictive Components for Model Modification” by Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak, Tanay Narshana, and Chiranjib Bhattacharyya was published as a Spotlight at NeurIPS 2025. |
| Feb 26, 2025 | The paper “CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices” by Mariamma Antony, Rajiv Porana, Sahil M Lathiya, Siva Teja Kakileti, and Chiranjib Bhattacharyya was published in CVPR 2025. |
| Sep 25, 2024 | The paper “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) was published in NeurIPS 2024. |
| Sep 25, 2024 | The paper “DisCEdit: Model Editing by Identifying Discriminative Components” by Chaitanya Murti and Chiranjib Bhattacharyya was published in NeurIPS 2024. |
| Sep 10, 2024 | The paper “Decision time: illuminating performance in India’s district courts” by Varsha Aithala (NLSIU), Anushka Sachan (NLSIU), Srijoni Sen (NLSIU), Himanshu Payal (IISc), and Chiranjib Bhattacharyya (IISc) was published in Cambridge Data & Policy, Vol. 6. |
| Apr 15, 2024 | The paper “Random Separating Hyperplane Theorem and Learning Polytopes” by Chiranjib Bhattacharyya (IISc), Ravindran Kannan (CMU), and Amit Kumar (IIT Delhi) was published in ICALP 2024. |
| Jan 19, 2024 | The paper “LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields” by Chaitanya Murti, Dhruva Kashyap, and Chiranjib Bhattacharyya was published in AISTATS 2024. |
| Oct 01, 2023 | A paper discussing technical challenges in diagnosing chest X-rays through mobile phones, such as those launched in XraySetu, is now available in Nature Scientific Reports. |
| Jan 21, 2023 | The paper “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) was published in ICLR 2023. |
| Jan 21, 2023 | The paper “DFPC - Data Flow Driven Pruning of Coupled Channels without Data” by Tanay Narshana (observe.ai), Chaitanya Murti (IISc), and Chiranjib Bhattacharyya (IISc) was published in ICLR 2023. |
| Sep 15, 2022 | The paper “When to Intervene: Learning Optimal Intervention Policies for Critical Events” by Niranjan Damera Venkata (HP) and Chiranjib Bhattacharyya (IISc) was published in NeurIPS 2022. |
| Nov 01, 2021 | Nabanita Paul (IISc) and Chiranjib Bhattacharyya (IISc) won the Innovation in Software Award at the ICSR 2021 Robot Design Competition for the submission “Can Non-Humanoid Social Robots Reduce Workload of Special Educators?”. |
| Jul 01, 2021 | The paper “Finding k in Latent k-Polytope” by Chiranjib Bhattacharyya (IISc), Ravindran Kannan (MSR), and Amit Kumar (IIT Delhi) was published in ICML 2021. |
| Jun 01, 2021 | COVID-SWIFT, developed by the ML Lab and Niramai, has now been launched as XraySetu. |
| May 02, 2021 | The paper “Can Non-Humanoid Social Robots Reduce Workload of Special Educators: An Online and In-Premises Field Study” by Nabanita Paul (IISc), Siddharth Ramesh (IISc), Chiranjib Bhattacharyya (IISc), Jayashree Ramesh (ASHA), and Priya Vijayan (ASHA) was published in ICRA 2021. |
| May 01, 2021 | The paper “Rawlsian Fair Adaptation of Deep Learning Classifiers” by Pooja Gupta (IISc), Chiranjib Bhattacharyya (IISc), Kulin Shah (MSR India), and Amit Deshpande (MSR India) was published in AIES 2021. |
| Feb 01, 2021 | The paper “DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder” by P. Kumar, S. Sahoo, V. Shah, V. Kondameedi, A. Jain, A. Verma, C. Bhattacharyya (IISc), and V. Vinay (AMIDC, CMI) was published in AAAI 2021. |
| Aug 27, 2020 | Prof. Chiranjib Bhattacharyya takes charge as the Chair of the CSA Department. |
| Jul 02, 2020 | The paper “Learning With Subquadratic Regularization: A Primal-Dual Approach” by Raman Sankaran, Francis Bach, and Chiranjib Bhattacharyya was published in IJCAI 2020. |
| Jul 01, 2020 | The paper “Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures” by Chiranjib Bhattacharyya and Ravindran Kannan was published in ICML 2020. |
| Jan 09, 2020 | Prof. Chiranjib Bhattacharyya is organising the FATE ML workshop on Fairness, Accountability, Transparency and Ethics in Machine Learning, in collaboration with IISc, LinkedIn, and Microsoft Research. |
| Jan 08, 2020 | The paper “Finding a latent k-simplex in O*(k·nnz(data)) time via Subset Smoothing” by Chiranjib Bhattacharyya and Ravindran Kannan published in SODA 2020. |
| Oct 25, 2019 | Prof. Chiranjib Bhattacharyya is organising Deep Tech Entrepreneurship, an ongoing effort to bring together alumni, faculty, and students of IISc with the broader entrepreneurial ecosystem of deep technology companies. |
| Sep 06, 2019 | Pooja Ravi Kulkarni is selected for the Computer Society of India Bangalore Medal for Best M.Tech Student 2018. She was advised by Prof. Chiranjib Bhattacharyya. |
| Jun 30, 2019 | Prof. Chiranjib Bhattacharyya is collaborating with Tata Motors in the domain of artificial intelligence and computer vision. |
| Jan 09, 2019 | A joint workshop by IISc, Microsoft Research, and the University of Pennsylvania on Programming Languages, Formal Methods, and Cyber-Physical Systems will be held on January 10, 2019, in the Department of CSA. |
| Dec 11, 2018 | Shikhar Vashishth, advised by Prof. Partha Talukdar and Prof. Chiranjib Bhattacharyya, is awarded the Google PhD Fellowship. |
| Aug 06, 2018 | Abhishek Bansal received the Computer Society of India Bangalore Medal for Best M.Tech Student, 2017. He was advised by Prof. Chiranjib Bhattacharyya. |
| Jan 23, 2018 | The paper “Using Inherent Structures to design Lean 2-layer RBMs” by Abhishek Bansal (IBM India), Abhinav Anand (IISc), and Chiranjib Bhattacharyya (IISc) has been accepted at ICML 2018. |
| Jan 23, 2016 | Prof. Chiranjib Bhattacharyya co-chairs a special task group on machine intelligence set up by the Karnataka Knowledge Commission. |