PAPERS
- ECML-PKDD Félix Chavelli, Arik Ermshaus, Fan Yang, Patrick Schäfer, John Paparrizos, Paul Boniol. tsseg: An Interactive Toolkit for Time Series Segmentation. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Naples, Italy, September 2026.
- CAp Felix Chavelli, Paul Boniol, Michaël Thomazo. Toward Interpretable Evaluation Measures for Time Series Segmentation. Conférence sur l’Apprentissage automatique (CAp), Montpellier, France, July 2026.
- EGC Felix Chavelli, Paul Boniol, Michaël Thomazo. Vers des mesures d'évaluation interprétables pour la segmentation de séries temporelles. 26ème Conférence Francophone sur l'Extraction et la Gestion des Connaissances (EGC), Anglet, France
- NeurIPS Felix Chavelli, Paul Boniol, Michaël Thomazo. Toward Interpretable Evaluation Measures for Time Series Segmentation. In Proceedings of the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, December 2025.
- VLDB Felix Chavelli. Toward Interpretable Methods for Time Series Analytics. 51st International Conference on Very Large Data Bases (VLDB) PhD Workshop, London, United Kingdom
- BDA Felix Chavelli. Toward Interpretable Methods for Time Series Analytics. 41èmes journées de la conférence Gestion de Données – Principes, Technologies et Applications (BDA) PhD Workshop, Toulouse, France
- NeurIPS Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan. Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems (ML4PS). Machine Learning and the Physical Sciences Workshop, NeurIPS 2024, Vancouver, BC, Canada
- ACIIDS Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan. Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. Intelligent Information and Database Systems (ACIIDS). In: Nguyen, N.T., et al. Intelligent Information and Database Systems (ACIIDS), 2025. Lecture Notes in Computer Science, vol 15683. Springer, Singapore.
- DEXA Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan. Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations. Database and Expert Systems Applications (DEXA), 2023. Lecture Notes in Computer Science, vol 14146. Springer, Cham.
TALKS
- Unifying Time Series Segmentation: Methods, Metrics, and Large-Scale Evaluation, Neuralk Tabular Talk. Paris, May 2026
- Vers des mesures d'évaluation interprétables pour la segmentation de séries temporelles, EGC 2026. Anglet, France, January 2026
- Interpretable Evaluation Measures for Time Series Segmentation, NeurIPS@Paris 2025, Sorbonne University. Paris, November 2025
- Interpretable Time-Series Segmentation, VALDA Seminar, École normale supérieure. Paris, October 2025
- Intrinsic Dimension Estimation of Dynamical Systems, DEXA. Penang, Malaysia, August 2023
- Discovering State Variables from Experimental Data, SinFra. IRIT, Toulouse, France, June 2023
- Discovering Degrees of Freedom from Experimental Data, joint NUS-JSPS seminar 2023. NII, Tokyo, Japan, February 2023
REPORTS & POSTS
- Adversarial Robustness of ChatGPT Using Adversarial Attacks, 2023
- What 13,500 citations reveal about the IPCC's climate science report, Carbon Brief, 2023
- Analysis of the WGI contribution to the Sixth Assessment Report: Review of the WGI AR6 references, Zenodo, 2023
- Textual analysis of the WGI contribution to the AR6: Review of the use of uncertainty language and scenarios in the report chapters, ES, TS & SPM, Zenodo, 2023
- Solving Reynolds-Averaged Navier-Stokes equations in Turbulent Channel Flow, Harvard University, 2021
SERVICE
- NeurIPS Reviewer for NeurIPS 2025 (main track) and NeurIPS 2025 Recent Advances in Time Series Foundation Models (BERT2S)
- IEEE Big Data External invited reviewer (see: IEEE Big Data 2025 Program Committee)