+9180 29910673, 29910674
office.diarcoe@iisc.ac.in

Publications

  1. J.Joseph, B.Amrutur, and S.Bhatnagar: Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting. arXiv - SIGGRAPH Asia, Hong Kong, Dec. 15-18, 2025. DOI: https://arxiv.org/pdf/2411.15193
  2. S.Pachal, S.Bhatnagar, and L.A.Prashanth: Generalized Simultaneous Perturbation-based Gradient Search with Reduced Estimator Bias. IEEE Transactions on Automatic Control, Vol.70, No.7, pp.4687-, 2025. DOI: https://doi.org/10.1109/TAC.2025.3532160
  3. L.Mandal, C.Lakshminarayanan and S.Bhatnagar: Approximate Linear Programming for Decentralized Policy Iteration in Cooperative Multi-agent Markov Decision Processes. Sciencedirect - Systems and Control, 2025. DOI: https://doi.org/10.1016/j.sysconle.2024.106003
  4. Prof. Apoorva D Patel: Limitations of Quantum Advantage in Unsupervised Machine Learning. IEEE International Conference on Quantum Control, Computing and Learning (qCCL), 2025. DOI: https://doi.org/10.1109/qCCL65142.2025.11157983
  5. S. Kashyap, R.K. Ramakrishnan, K. Jyoti and Apoorva D Patel: Advances in machine learning: Where can quantum techniques help?”, Quantum Information Processing, thematic issue. Quantum Information in India” (Springer, 2025), 2025. DOI: https://doi.org/10.48550/arXiv.2507.08379
  6. Prashanth L. A.; Shalabh Bhatnagar: Gradient-Based Algorithms for Zeroth-Order Optimization, Foundations and Trends in Optimization. NOW Publishers, 2025. DOI: http://dx.doi.org/10.1561/2400000047
  7. P.Panda and S.Bhatnagar: Two-Timescale Critic-Actor for Average Reward MDPs with Function. AAAI Conference on Artificial Intelligence, 2025. DOI: https://doi.org/10.1609/aaai.v39i19.34182
  8. Lakshmi Mandal; Shalabh Bhatnagar: Optimizing Successive Over-relaxation Q-learning with Deterministic Perturbation Gradient Search. IEEE Transactions on Artificial Intelligence, 2025. DOI: https://doi.org/10.1109/TAI.2025.3597581
  9. Shalabh Bhatnagar and Deepak H.R.: Variance Reduced Smoothed Functional REINFORCE Policy Gradient Algorithms. Transactions on Machine Learning Research, 2025. DOI: https://openreview.net/pdf?id=yagxqSJbiY
  10. Soumyajit Guin; Vivek S. Borkar; Shalabh Bhatnagar: An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision Processes. IEEE Transactions on Automatic Control, 2025. DOI: https://doi.org/10.1109/TAC.2025.3593328
  11. Lakshmi Mandal; Shalabh Bhatnagar: n-Step Temporal Difference Learning with Optimal n. Sciencedirect, Automatica, 2025. DOI: https://doi.org/10.1016/j.automatica.2025.112449
  12. Sita Choudhary, Gyan Shankar and Satyam Suwas: Micro-texture and Stress Evolution Under Monotonic Tension 7 in an Additively Manufactured Near-a Titanium Alloy. The Minerals, Metals & Materials Series, Jan, 2025. DOI: https://doi.org/10.1007/s11837-025-07130-7
  13. Swapnil Bhure, Divya Nalajala & Abhik Choudhury: Single-crystalline,“Ni-based superalloy builds using laser-directed energy deposition (L-DED): A multi-scale modeling and experimental approach. Acta Materialia, Mar, 2025. DOI: https://doi.org/10.1016/j.actamat.2024.120703
  14. Bidisha Nath, Jeykishan Kumar, Sushant K Behera, Praveen C Ramamurthy, Debiprosad Roy Mahapatra, Gopalkrishna Hegde,: Transformations in Perovskite Photovoltaics: Film Formation, Processing Conditions, and Recovery Outlook. Progress in Photovoltaics: Research and Applications, Jan, 2025. DOI: https://api.semanticscholar.org/CorpusID:275606574
  15. Bidisha Nath, Praveen C Ramamurthy, Debiprosad Roy Mahapatra, Gopalkrishna Hegde: Unveiling the Wavelength-Dependent Performance and Photodegradation Analysis of Perovskite Solar Cells. ACS Applied Energy Materials, Jan, 2025. DOI: https://doi.org/10.1021/acsaem.4c02415
  16. M.Maniyar, Prashanth L.A., A.Mondal and S.Bhatnagar: A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. arXiv - 27th International Conference on Artifi cial Intelligence and Statistics (AISTATS), Valencia, Spain, 2024. DOI: https://arxiv.org/pdf/2304.10951
  17. P.Panda and S.Bhatnagar: Finite Time Analysis of Constrained Actor Critic and Constrained NaturalActor Critic Algorithms. arXiv - Uncertainty in Artificial Intelligence (UAI), Barcelona, Spain, 2024. DOI: https://arxiv.org/pdf/2310.16363v4
  18. A.Barat, K.J.Prabuchandran, and S.Bhatnagar: Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network. IEEE Communication Letters, Vol. 28, No. 1, pp. 243-247, 2024. DOI: https://doi.org/10.1109/LCOMM.2023.3335143
  19. A.Mondal, L.A.Prashanth, and S.Bhatnagar: Truncated Cauchy Random Perturbations for SmoothedFunctional-based Stochastic Optimization. Sciencedirect - Automatica, 162:111528, 2024. DOI: https://doi.org/10.1016/j.automatica.2024.111528
  20. L.Mandal, D.R.Bharadwaj and S.Bhatnagar: “Variance-Reduced Deep Actor-Critic with an OptimallySub-Sampled Actor Recursion”. IEEE Transactions on Artifi cial Intelligence - VOL. 5, NO. 7, 2024. DOI: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10476600
  21. Vivek V.P and S.Bhatnagar: Efficient Energy Management in Smart Grids with Finite Horizon Q-Learning. Sciencedirect (Elsevier) - Sustainable Energy, Grids and Networks, 38:101277, 2024., 2024. DOI: https://doi.org/10.1016/j.segan.2024.101277
  22. Jayateja Kalla, Soma Biswas: AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning. arXiv - Computer Vision and Pattern Recognition (cs.CV) Accepted in BMVC 2024, 2024. DOI: https://doi.org/10.48550/arXiv.2408.04347
  23. Vadivukkarasi Jeyaselvan and Shankar Kumar Selvaraja: Silicon Ring Modulator Insertion Loss and Electro-optic Bandwidth optimisation through junction engineering. Technical Digest Series (Optica Publishing Group, 2024), 2024. DOI: https://doi.org/10.1364/CLEO_AT.2024.JTh2A.20
  24. A. Viresh Bhan; B. Vadivukkarasi Jeyaselvan; C. Shankar Kumar Selvaraja: Photonics – aided Multiformat tunable LFM signal generation using Silicon-based Dual-Drive Mach-Zehnder Modulator. 2024 IEEE Photonics Conference (IPC), 2024. DOI: https://doi.org/10.1109/IPC60965.2024.10799523
  25. Praveen Kumar; Linet Thomas C; Sahana D; Chandrashekar L N; Antony Jeyaseelan, Gayathri Pillai: Evolution of Phononic Frequency Combs in Curved Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) under Single-tone Actuation. 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), 2024. DOI: https://doi.org/10.1109/UFFC-JS60046.2024.10793956
  26. Sravanthi Gurugubelli; Sundeep Prabhakar Chepuri: Gaussian Processes for Predicting Simplicial Closure. 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM), 2024. DOI: https://doi.org/10.1109/SAM60225.2024.10636653
  27. Hiren Madhu, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri: Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms. ICML, 2024. DOI: https://openreview.net/pdf?id=wmljUnbjy6
  28. Devendra Patel, Vikas Verma, Shreyas Kumar Tah, Shwetabh Biswas, Soma Biswas: FRAUD-Net: Fraud News Detection Using Sample Uncertainty & Domain Aware Generalized Network. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. DOI: https://doi.org/10.1109/WACV61041.2025.00332
  29. Amartya Bhattacharya, Debarshi Brahma, Suraj Nagaje, Anmol Asati, Vikas Verma, Soma Biswas: Can Out-of-Domain data help to learn Domain-Specific Prompts for Multimodal Misinformation Detection?. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024. DOI: https://doi.org/10.48550/arXiv.2311.16496
  30. Basavaraju U, Sushant Kumar Behera, Sandeep Satyanarayana, Shivangi Srivastava, Bidisha Nath, Nagahanumaiah, Praveen Ramamurthy: Synergistic Enhancement of VOC in Tin Halide Perovskite Solar Cells through Growth Annealing Temperature Optimization via Mitigating Bulk Defects and Nonradiative Recombination. ACS Applied Energy Materials, Oct, 2024.
  31. Swapnil Bhure, Divya Nalajala & Abhik Choudhury: Near Single-Crystalline CMSX-4 Superalloy Builds with Laser-Directed Energy Deposition (L-DED) Using Model-Informed Experiments. The Minerals, Metals & Materials Series, Aug, 2024. DOI: https://doi.org/10.1007/978-3-031-63937-1_79
  32. Nikhil Khobragade, Aswathi Krishna, Sai Mohanty and Subrahmanyam Duvvuri: Micro-Ramp Induced Flow Unsteadiness in a Mach 6 Laminar Boundary Layer. Aerospace Research Central Jul, 2024. DOI: https://doi.org/10.2514/6.2024-4337
  33. Vishnu Joshi, Suraj Kumar, Nithin V, Shishir Kolathaya: Discrete time model predictive control for humanoid walking with step adjustment. arXiv: 2410.06790v2, Oct, 2024. DOI: https://doi.org/10.48550/arXiv.2410.06790
  34. GVS Mothish, Manan Tayal, Shishir Kolathaya: BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains. arXiv preprint arXiv: 2407.05424 Jul, 2024. DOI: https://doi.org/10.48550/arXiv.2407.05424
  35. Bidisha Nath, Sushant K Behera, Jeykishan Kumar, Arnaud Hemmerle, Philippe Fontaine, Praveen C Ramamurthy, Debiprosad Roy Mahapatra, Gopalkrishna Hegde: Understanding the Heterointerfaces in Perovskite Solar Cells via Hole Selective Layer Surface Functionalization. Advanced Materials, Feb, 2024. DOI: https://doi.org/10.1002/adma.202307547
  36. Bidisha Nath, Basavaraju Uppara, Simranjeet Singh, Praveen C Ramamurthy, Debiprosad Roy Mahapatra, Gopalkrishna Hegde: Exploring the Potential of Green Synthesized Zno-SnO2 Composite as an effective electron transport layer for perovskite solar cells: A sustainable approach. Chemical Engineering Science, Aug, 2024. DOI: https://doi.org/10.1016/j.ces.2024.120249
  37. Bidisha Nath, Rajarshi Roy Chaudhuri, Mayank Shrivastava, Praveen C Ramamurthy, Debiprosad Roy Mahapatra, Gopalkrishna Hegde: Role of transition metal iodides in defect and charge dynamics of perovskite solar cells. Solar Energy, Nov, 2024. DOI: https://doi.org/10.1016/j.solener.2024.112928
  38. Vivek V.P., D.R.Bharadwaj and S.Bhatnagar: Dynamic energy management in competing microgrids using reinforcement learning. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), North, 2023. DOI: https://doi.org/10.1109/ISGT59692.2024.10454198
  39. S Bhatnagar: The Reinforce Policy Gradient Algorithm Revisited. Ninth Indian Control Conference (ICC) - IEEE, 2023. DOI: https://doi.org/10.1109/ICC61519.2023.10442123
  40. S Guin and S Bhatnagar: A Policy Gradient Approach for Finite Horizon Constrained Markov Decision. 62nd IEEE Conference on Decision and Control (CDC), 2023. DOI: https://doi.org/10.1109/CDC49753.2023.10383413
  41. S.Bhatnagar, V.S.Borkar, and S.Guin: Actor-Critic or Critic-Actor? A Tale of Two Time Scale. IEEE, 2023. DOI: https://doi.org/10.1109/LCSYS.2023.3288931
  42. Supratik Bose; Raeann Jesma; Kongbrailatpam Sandeep Sharma; Gayathri Pillai: Design and Realization of a Fully Differential SAW Filter Architecture for Bandwidth Enhancement. 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), 2023. DOI: https://doi.org/10.1109/UFFC-JS60046.2024.10793966
  43. Rohit K Ramakrishnan; Aravinth Balaji Ravichandran; Srinivas Talabattula; Anindya Banerji; Nijil Lal; Sarika Mishra: Experimental proposal for validation of W-state protocol for qubits and qudits. IEEE, 2023 Conference on Lasers and Electro-Optics (CLEO), 2023. DOI: https://doi.org/10.1364/CLEO_AT.2023.JTh2A.30
  44. Swapnil Bhure, Divya Nalajala & Abhik Choudhury: Toward DS/SX Ni-Based Superalloy Components Using L-DED: A Multi-scale Modeling and Experimental Approach. Transactions of the Indian Institute of Metals, Nov, 2023. DOI: https://doi.org/10.1007/s12666-023-03173-z