340 citations · 1.4k across the 23 of their papers we have counts for
5 papers · 1 filter
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network
Ademola Oladosu, Tony Xu, Philip Ekfeldt +5
This paper presents a meta-learning framework for few-shots One-Class Classification (OCC) at test-time, a setting where labeled examples are only available for the positive class,…
A Meta-Learning Approach to One-Step Active Learning
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres
We consider the problem of learning when obtaining the training labels is costly, which is usually tackled in the literature using active-learning techniques. These approaches prov…
Sequential Cost-Sensitive Feature Acquisition
Gabriella Contardo, Ludovic Denoyer, Thierry Artières
We propose a reinforcement learning based approach to tackle the cost-sensitive learning problem where each input feature has a specific cost. The acquisition process is handled th…
Learning States Representations in POMDP
Gabriella Contardo, Ludovic Denoyer, Thierry Artieres +1
We propose to deal with sequential processes where only partial observations are available by learning a latent representation space on which policies may be accurately learned.