| Perceptnet: Learning perceptual similarity of haptic textures in presence of unorderable triplets K Priyadarshini, S Chaudhuri, S Chaudhuri IEEE World Haptics Conference (WHC), 2019 | 19* | 2019 |
| Haptic rendering of cultural heritage objects at different scales KG Sreeni, K Priyadarshini, AK Praseedha, S Chaudhuri Haptics: Perception, Devices, Mobility, and Communication: International …, 2012 | 18 | 2012 |
| Batch decorrelation for active metric learning P Kumari, R Goru, S Chaudhuri, S Chaudhuri Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 11 | 2021 |
| Scalable rendering of variable density point cloud data P Kumari, KG Sreeni, S Chaudhuri 2013 World Haptics Conference (WHC), 91-96, 2013 | 5 | 2013 |
| A unified batch selection policy for active metric learning K Priyadarshini, S Chaudhuri, V Borkar, S Chaudhuri Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 3 | 2021 |
| Haptics: Perception, Devices, Control, and Applications: 10th International Conference, EuroHaptics 2016, London, UK, July 4-7, 2016, Proceedings, Part I F Bello, H Kajimoto, Y Visell Springer, 2016 | 3 | 2016 |
| Combined hapto-visual and auditory rendering of cultural heritage objects PK Aniyath, SK Gopalan, P Kumari, S Chaudhuri Asian Conference on Computer Vision, 491-506, 2014 | 3 | 2014 |
| Cultural heritage objects: Bringing them alive through virtual touch S Chaudhuri, K Priyadarshini Digital Hampi: Preserving Indian Cultural Heritage, 337-354, 2017 | 2 | 2017 |
| Perceptual metrics for odorants: Learning from non-expert similarity feedback using machine learning P Kumari, T Besold, M Spranger Plos one 18 (11), e0291767, 2023 | 1 | 2023 |
| Comparing molecular representations, e-nose signals, and other featurization, for learning to smell aroma molecules T Debnath, S Badreddine, P Kumari, M Spranger Plos one 18 (8), e0289881, 2023 | 1 | 2023 |
| Enhancing haptic distinguishability of surface materials with boosting technique K Priyadarshini, S Chaudhuri 2022 IEEE Haptics Symposium (HAPTICS), 1-6, 2022 | 1 | 2022 |
| Batch Decorrelation for Active Metric Learning R Goru, S Chaudhuri, S Chaudhuri arXiv preprint arXiv:2005.10008, 2020 | 1* | 2020 |
| Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness P Kumari, S Chaudhuri Haptics: Perception, Devices, Control, and Applications: 10th International …, 2016 | 1 | 2016 |
| Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. 2021 P Kumari, S Chaudhuri, V Borkar, S Chaudhuri | 1 | |
| CosFairNet: A Parameter-Space based Approach for Bias Free Learning RR Dwivedi, P Kumari, VK Kurmi arXiv preprint arXiv:2410.15094, 2024 | | 2024 |
| CosFairNet: A Parameter-Space based Approach for Bias Free Learning R Ranjan Dwivedi, P Kumari, VK Kurmi arXiv e-prints, arXiv: 2410.15094, 2024 | | 2024 |
| Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach U Akujuobi, P Kumari, J Choi, S Badreddine, K Maruyama, ... Artificial Intelligence Review 57 (9), 244, 2024 | | 2024 |
| FRUNI and FTREE synthetic knowledge graphs for evaluating explainability PS Martin, T Besold, P Kumari XAI in Action: Past, Present, and Future Applications @ NeurIPS 2023., 2023 | | 2023 |
| Optimizing Learning Across Multimodal Transfer Features for Modeling Olfactory Perception D Shin, G Pei, P Kumari, TR Besold Multimodal SigKDD 2023, 2023 | | 2023 |
| Label efficient triplet based metric learning P Kumari Mumbai, 2021 | | 2021 |
Subhasis ChaudhuriIndian Institute of Technology BombayVerified email at ee.iitb.ac.in
