K. S. Sesh Kumar

18 papers A 1B 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Data Learning: Integrating Data Assimilation and Machine Learning.
J. Comput. Sci.
Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci
2022 J jnl
The Graph Cut Kernel for Ranked Data.
Trans. Mach. Learn. Res.
Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar
2021 J jnl
Sliced Multi-Marginal Optimal Transport.
CoRR
Samuel Cohen, K. S. Sesh Kumar, Marc Peter Deisenroth
2021 J jnl
Submodular Kernels for Efficient Rankings.
CoRR
Michelangelo Conserva, Marc Peter Deisenroth, K. S. Sesh Kumar
2020 J jnl
High-dimensional Bayesian optimization using low-dimensional feature spaces.
Mach. Learn.
Riccardo Moriconi, Marc Peter Deisenroth, K. S. Sesh Kumar
2020 J jnl
High-dimensional Bayesian optimization with projections using quantile Gaussian processes.
Optim. Lett.
Riccardo Moriconi, K. S. Sesh Kumar, Marc Peter Deisenroth
2019 J jnl
Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms.
CoRR
K. S. Sesh Kumar, Marc Peter Deisenroth
2019 J jnl
High-Dimensional Bayesian Optimization with Manifold Gaussian Processes.
CoRR
Riccardo Moriconi, K. S. Sesh Kumar, Marc Peter Deisenroth
2017 J jnl
Active-set Methods for Submodular Minimization Problems.
J. Mach. Learn. Res.
K. S. Sesh Kumar, Francis R. Bach
2016 — —
On the Links between Probabilistic Graphical Models and Submodular Optimisation. (Liens entre modèles graphiques probabilistes et optimisation sous-modulaire).
K. S. Sesh Kumar
2015 J jnl
Convex Optimization for Parallel Energy Minimization.
CoRR
K. S. Sesh Kumar, Álvaro Barbero Jiménez, Stefanie Jegelka, Suvrit Sra, Francis R. Bach
2013 — conf
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs.
ICML (1)
K. S. Sesh Kumar, Francis R. Bach
2013 J jnl
Maximizing submodular functions using probabilistic graphical models.
CoRR
K. S. Sesh Kumar, Francis R. Bach
2012 J jnl
Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs
CoRR
K. S. Sesh Kumar, Francis R. Bach
2007 A conf
On Segmentation of Documents in Complex Scripts.
ICDAR
K. S. Sesh Kumar, S. Kumar, C. V. Jawahar
2006 B conf
A Semi-automatic Adaptive OCR for Digital Libraries.
Document Analysis Systems
Sachin Rawat, K. S. Sesh Kumar, Million Meshesha, Indraneel Deb Sikdar, A. Balasubramanian, C. V. Jawahar
2006 — conf
Learning Segmentation of Documents with Complex Scripts.
ICVGIP
K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawahar
2005 — conf
Learning to Segment Document Images.
PReMI
K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawahar