output
20122025
most citedDeep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

259 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · stat.MLShow all

4 papers · 2 filters

stat.ML2018★ 4 cited

Deep Determinantal Point Processes

Mike Gartrell, Elvis Dohmatob, Jon Alberdi

Determinantal point processes (DPPs) have attracted significant attention as an elegant model that is able to capture the balance between quality and diversity within sets. DPPs ar…

stat.ML2018

Multi-Task Determinantal Point Processes for Recommendation

Romain Warlop, Jérémie Mary, Mike Gartrell

Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to el…

stat.ML2018★ 137 cited

Offline A/B testing for Recommender Systems

Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec +2

Before A/B testing online a new version of a recommender system, it is usual to perform some offline evaluations on historical data. We focus on evaluation methods that compute an…

stat.ML2018★ 2 cited

Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization

Louis Filstroff, Alberto Lumbreras, Cédric Févotte

We present novel understandings of the Gamma-Poisson (GaP) model, a probabilistic matrix factorization model for count data. We show that GaP can be rewritten free of the score/act…