activity
20152022
most citedDeep Learning for Physical Processes: Incorporating Prior Scientific Knowledge

259 citations · 455 across the 13 of their papers we have counts for

collaborators

24 papers

physics.chem-ph20221 cited

PTFlash : A deep learning framework for isothermal two-phase equilibrium calculations

Jingang Qu, Thibault Faney, Jean-Charles de Hemptinne +2

Phase equilibrium calculations are an essential part of numerical simulations of multi-component multi-phase flow in porous media, accounting for the largest share of the computati…

cs.CL2021

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten +1

State-of-the-art NLP models can adopt shallow heuristics that limit their generalization capability (McCoy et al., 2019). Such heuristics include lexical overlap with the training…

cs.LG2021

Unsupervised domain adaptation with non-stochastic missing data

Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy +1

We consider unsupervised domain adaptation (UDA) for classification problems in the presence of missing data in the unlabelled target domain. More precisely, motivated by practical…

cs.LG2021

Differentiable Feature Selection, a Reparameterization Approach

Jérémie Dona, Patrick Gallinari

We consider the task of feature selection for reconstruction which consists in choosing a small subset of features from which whole data instances can be reconstructed. This is of…

cs.CL202125 cited

QuestEval: Summarization Asks for Fact-based Evaluation

Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari +4

Summarization evaluation remains an open research problem: current metrics such as ROUGE are known to be limited and to correlate poorly with human judgments. To alleviate this iss…

cs.CL2021

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation

Clément Rebuffel, Thomas Scialom, Laure Soulier +5

QuestEval is a reference-less metric used in text-to-text tasks, that compares the generated summaries directly to the source text, by automatically asking and answering questions.…