activity
20182025
most citedPredicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Deliberate Lab: A Platform for Real-Time Human-AI Social Experiments

Crystal Qian, Vivian Tsai, Michael Behr +4

Social and behavioral scientists increasingly aim to study how humans interact, collaborate, and make decisions alongside artificial intelligence. However, the experimental infrast…

cs.CL2023

KNNs of Semantic Encodings for Rating Prediction

Léo Laugier, Raghuram Vadapalli, Thomas Bonald +1

This paper explores a novel application of textual semantic similarity to user-preference representation for rating prediction. The approach represents a user's preferences as a gr…

cs.CL2021

Toxicity Detection can be Sensitive to the Conversational Context

Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos +3

User posts whose perceived toxicity depends on the conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on existing datasets wi…

cs.CL2021

Civil Rephrases Of Toxic Texts With Self-Supervised Transformers

Leo Laugier, John Pavlopoulos, Jeffrey Sorensen +1

Platforms that support online commentary, from social networks to news sites, are increasingly leveraging machine learning to assist their moderation efforts. But this process does…

physics.comp-ph2018★ 3 cited

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials

Leo Laugier, Daniil Bash, Jose Recatala +5

We introduce the use of Crystal Graph Convolutional Neural Networks (CGCNN), Fully Connected Neural Networks (FCNN) and XGBoost to predict thermoelectric properties. The dataset fo…