| Learning segmentation of documents with complex scripts KS Sesh Kumar, AM Namboodiri, CV Jawahar Computer Vision, Graphics and Image Processing, 749-760, 2006 | 54 | 2006 |
| High-dimensional Bayesian optimization using low-dimensional feature spaces R Moriconi, MP Deisenroth, KS Sesh Kumar Machine Learning 109 (9), 1925-1943, 2020 | 37 | 2020 |
| On segmentation of documents in complex scripts KS Kumar, S Kumar, C Jawahar Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007 | 29 | 2007 |
| On segmentation of documents in complex scripts KS Sesh Kumar, S Kumar, CV Jawahar Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International …, 2007 | 29* | 2007 |
| High-dimensional Bayesian optimization with projections using quantile Gaussian processes R Moriconi, KS Kumar, MP Deisenroth Optimization Letters 14 (1), 51-64, 2020 | 20 | 2020 |
| Convex relaxations for learning bounded-treewidth decomposable graphs KSS Kumar, F Bach International Conference on Machine Learning, 525-533, 2013 | 20 | 2013 |
| Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs KS Sesh Kumar, F Bach arXiv preprint arXiv:1212.2573, 2012 | 20* | 2012 |
| A semi-automatic adaptive OCR for digital libraries S Rawat, K Kumar, M Meshesha, I Sikdar, A Balasubramanian, ... Document Analysis Systems VII, 13-24, 2006 | 15 | 2006 |
| Real-time particle filtering with heuristics for 3D motion capture by monocular vision DAG Jáuregui, P Horain, MK Rajagopal, SSK Karri 2010 IEEE International Workshop on Multimedia Signal Processing, 139-144, 2010 | 12 | 2010 |
| Convex optimization for parallel energy minimization KS Kumar, A Barbero, S Jegelka, S Sra, F Bach arXiv preprint arXiv:1503.01563, 2015 | 9 | 2015 |
| High-Dimensional Bayesian Optimization with Manifold Gaussian Processes R Moriconi, KSS Kumar, MP Deisenroth https://arxiv.org/pdf/1902.10675, 2019 | 7 | 2019 |
| Learning to segment document images K Kumar, A Namboodiri, C Jawahar Pattern Recognition and Machine Intelligence, 471-476, 2005 | 7 | 2005 |
| Active-set methods for submodular minimization problems KS Kumar, F Bach The Journal of Machine Learning Research 18 (1), 4809-4839, 2017 | 5 | 2017 |
| Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms KSS Kumar, MP Deisenroth https://arxiv.org/pdf/1905.04873, 2019 | 4 | 2019 |
| Data Learning: Integrating Data Assimilation and Machine Learning C Buizza, CQ Casas, P Nadler, J Mack, S Marrone, Z Titus, C Le Cornec, ... Journal of Computational Science 58, 101525, 2022 | 3 | 2022 |
| Active-set methods for submodular optimization K Kumar, F Bach arXiv preprint arXiv:1506.02852, 2015 | 3 | 2015 |
| Maximizing submodular functions using probabilistic graphical models KS Kumar, F Bach arXiv preprint arXiv:1309.2593, 2013 | 3 | 2013 |
| In vitro and in vivo anti-snake venom activity of Coccinia indica L. leaf RA Vijayabharathi, S Kumar, KS Kumar Hamdard Med 48 (1), 132-135, 2005 | 3 | 2005 |
| Sliced multi-marginal optimal transport S Cohen, KS Kumar, MP Deisenroth arXiv preprint arXiv:2102.07115, 2021 | 2 | 2021 |
| Fast decomposable submodular function minimization using constrained total variation SSK Karri, F Bach, T Pock Advances in Neural Information Processing Systems 32, 2019 | 1 | 2019 |
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
