193 citations
- Université de LilleFR199 papers
- Centre National de la Recherche ScientifiqueFR190 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR140 papers
- Université Paris-SaclayFR62 papers
- Centre de Recherche en InformatiqueFR57 papers
- Institut d'Astrophysique SpatialeFR56 papers
- Sorbonne UniversitéFR56 papers
- Université Paris CitéFR55 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR52 papers
- Université Grenoble AlpesFR51 papers
- CEA Paris-SaclayFR50 papers
- Institut de Recherche en Astrophysique et PlanétologieFR50 papers
10 papers · 1 filter
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression
Debabrota Basu, Sourav Chakraborty, Debarshi Chanda +3
Assessing whether a sample survey credibly represents the population is a critical question for ensuring the validity of downstream research. Generally, this problem reduces to est…
Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret
Emilio Jorge, Christos Dimitrakakis, Debabrota Basu
Common assumptions, like linear or RKHS models, and Gaussian or log-concave posteriors over the models, do not explain practical success of RL across a wider range of distributions…
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs
Chao Han, Debabrota Basu, Michael Mangan +2
Learning representations of underlying environmental dynamics from partial observations is a critical challenge in machine learning. In the context of Partially Observable Markov D…
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
Markus Grimm, Sébastien Paul, Pierre Chainais
The optimization of yields in multi-reactor systems, which are advanced tools in heterogeneous catalysis research, presents a significant challenge due to hierarchical technical co…
Augmented Bayesian Policy Search
Mahdi Kallel, Debabrota Basu, Riad Akrour +1
Deterministic policies are often preferred over stochastic ones when implemented on physical systems. They can prevent erratic and harmful behaviors while being easier to implement…
Leveraging Data Geometry to Mitigate CSM in Steganalysis
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
In operational scenarios, steganographers use sets of covers from various sensors and processing pipelines that differ significantly from those used by researchers to train stegana…