110 citations · 150 across the 6 of their papers we have counts for
6 papers
Laguna M.1/XS.2 Technical Report
Julien Abadji, Marah Abdin, Connor Adams +93
We present Laguna M.1 and Laguna XS.2, two Mixture-of-Experts foundation models built for long-horizon, agentic coding: M.1 has B total parameters (B activated per tok…
Bandit problems with fidelity rewards
Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle
The fidelity bandits problem is a variant of the -armed bandit problem in which the reward of each arm is augmented by a fidelity reward that provides the player with an additio…
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou, Iasonas Kokkinos, Pierre-André Savalle
Deep Convolutional Neural Networks (DCNNs) commonly use generic `max-pooling' (MP) layers to extract deformation-invariant features, but we argue in favor of a more refined treatme…
Detection of Correlations with Adaptive Sensing
Rui M. Castro, Gabor Lugosi, Pierre-André Savalle
The problem of detecting correlations from samples of a high-dimensional Gaussian vector has recently received a lot of attention. In most existing work, detection procedures are p…
Estimation of Simultaneously Sparse and Low Rank Matrices
Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
The paper introduces a penalized matrix estimation procedure aiming at solutions which are sparse and low-rank at the same time. Such structures arise in the context of social netw…
Graph Prediction in a Low-Rank and Autoregressive Setting
Emile Richard, Pierre-Andre Savalle, Nicolas Vayatis
We study the problem of prediction for evolving graph data. We formulate the problem as the minimization of a convex objective encouraging sparsity and low-rank of the solution, th…