| Machine learning-enhanced search for a vectorlike singlet quark decaying to a singlet scalar or pseudoscalar J Bardhan, T Mandal, S Mitra, C Neeraj Physical Review D 107 (11), 115001, 2023 | 12 | 2023 |
| Deep reinforcement learning in chemistry: A review B Sridharan, A Sinha, J Bardhan, R Modee, M Ehara, UD Priyakumar Journal of Computational Chemistry, 2024 | 5 | 2024 |
| Unsupervised and lightly supervised learning in particle physics J Bardhan, T Mandal, S Mitra, C Neeraj, M Patra The European Physical Journal Special Topics, 1-38, 2024 | 3 | 2024 |
| ReMOVE: A Reference-free Metric for Object Erasure A Chandrasekar, G Chakrabarty, J Bardhan, R Hebbalaguppe, P AP Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Loss function to optimise signal significance in particle physics J Bardhan, C Neeraj, S Mitra, T Mandal Machine Learning and the Physical Sciences, NeurIPS 2024, 2024 | | 2024 |
| Constructing sensible baselines for Integrated Gradients J Bardhan, C Neeraj, M Rawat, S Mitra 4th Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2024 | | 2024 |
| Revisiting Deep Learning for Particle Physics J Bardhan International Institute of Information Technology Hyderabad, 2023 | | 2023 |
| Filling the Gap in the Vectorlike Quark Searches C Neeraj, J Bardhan, A Bhardwaj, K Bhide, T Mandal, S Mitra High Energy Physics Symposium, 514-517, 2022 | | 2022 |
Subhadip MitraCCNSB & CQST, IIIT HyderabadVerified email at iiit.ac.in
