output
20162025
most citedHow to use quantum computers for biomolecular free energies

3 citations

7 papers

cs.LG2025

Tracing Mathematical Proficiency Through Problem-Solving Processes

Jungyang Park, Suho Kang, Jaewoo Park +4

Knowledge Tracing (KT) aims to model student's knowledge state and predict future performance to enable personalized learning in Intelligent Tutoring Systems. However, traditional…

quant-ph2025★ 3 cited

How to use quantum computers for biomolecular free energies

Jakob Günther, Thomas Weymuth, Moritz Bensberg +18

Free energy calculations are at the heart of physics-based analyses of biochemical processes. They allow us to quantify molecular recognition mechanisms, which determine a wide ran…

cs.CL2024

WikiNER-fr-gold: A Gold-Standard NER Corpus

Danrun Cao, Nicolas Béchet, Pierre-François Marteau

We address in this article the the quality of the WikiNER corpus, a multilingual Named Entity Recognition corpus, and provide a consolidated version of it. The annotation of WikiNE…

cs.NE2024

Time Elastic Neural Networks

Pierre-François Marteau

We introduce and detail an atypical neural network architecture, called time elastic neural network (teNN), for multivariate time series classification. The novelty compared to cla…

cs.CL2024

An LLM Maturity Model for Reliable and Transparent Text-to-Query

Lei Yu, Abir Ray

Recognizing the imperative to address the reliability and transparency issues of Large Language Models (LLM), this work proposes an LLM maturity model tailored for text-to-query ap…

cs.DM2019

On the separation of shape and temporal patterns in time series -Application to signature authentication-

Pierre-François Marteau

In this article we address the problem of separation of shape and time components in time series. The concept ofshape that we tackle is termed temporally neutral to consider that i…