Welcome!

News

• July 7-18: Antonio is visiting the group

• June 24: talking at the Séminaire de Probabilités et Statistiques in Nice

• June 2-6: in Marseille for the JdS

• new preprints!

Past news

• May: Kensuke visited the group 

• April 4: visiting CENTAI

• March: honored to serve as area chair for ICML 2025

• March 12: Synergies of machine learning and numerics (Osaka)

• February 10-24: Kensuke is visiting the group

• January 30: Intelligent mapping kick-off meeting (Nice)

• January 8: Uncertainty quantification in machine learning (Paris)

• December 16-19, 2024: attending / helping to organize ICSDS (Nice)

• December 2, 2024: Kensuke Mitsuzawa's PhD Defence (Eurecom)

• November 12, 2024: inaugural lecture @CAIDAS

• October 14, 2024: Gianluigi's PhD defence (Nice)

• October 10, 2024: Tech talk @PD (online)

• October 7, 2024: talking at ENSAE (Paris)

• September 25-27, 2024: the 47th German Conference on Artificial Intelligence took place in Würzburg

• September 9-13, 2024: attending ECML 2024 (Vilnius). Our paper received the best paper award at the conference! 

• August 25-29, 2024: Human-Interpretable workshop @ACM KDD in Barcelona

• July 21-27, 2024: in Vienna for ICML

• June 17, 2024: talking at the Journées Fondements Maths de l'IA (Paris)

• June, 2024: CAM-based methods can see through walls was accepted to ECML, congrats to Magamed on his first paper!

• May 2-4, 2024: AISTATS 2024 in Valencia

• April 4, 2024: talking at the Theory of Interpretable AI Seminar

• April 2, 2024: new preprint: we show that CAM-based methods can provably highlight unseen parts of an image

• April 3-5, 2024: MASCOT-NUM 2024 in Giens

• March 27-28, 2024: HyCHA 2024 in Saclay

• February 9, 2024: talk at the SAMM seminar

• February 7, 2024: new preprint. What happens when classical post-hoc interpretability methods meet transformers? 

• November 29, 2023: a new preprint, in which we ask ourselves whether larger ensembles are always better?

• November 30 - December 1, 2023: second edition of the NWI workshop

• November 24, 2023: Sophia Summit

• November 6, 2023: new preprint: we propose FRED, a new explainer for NLP applications with some guarantees

• October 11-12, 2023: 4th Inria - DFKI workshop (Berlin)

• July 23-29, 2023: in Honolulu for ICML, presenting two papers:

  • On the Robustness of Text Vectorizers (Samuel has a nice Twitter thread summing up the paper)

  • Explainability as statistical inference

• July 3-7, 2023: in Brussels for the 54th Journées de Statistiques de la SFdS

• June 22, 2023: talk at the ASCAI online seminar

• June 5, 2023: talk in Centrale Marseille

• June 2, 2023: new preprint: what happens when everyone gets recourse?

• May 22 - June 4, 2023: visiting the TML group in Tübingen

• April 25-27, 2023:  in Valencia for AISTATS, we presented an in-depth analysis of Anchors for text data

• April 18, 2023: talking at the Machine Learning and Signal Processing seminar in ENS Lyon

• March 13, 2023: talking at the GdR-ISIS (CNAM, Paris)

• February 2-3, 2023: keynote speaker at the SMPGD 2023 conference (Ghent)

• January 18, 2023: Martin Charachon's PhD defense (Centrale-Supélec)

• January 6, 2023:  talking at the Institute of Statistical Mathematics (Tokyo)

• November 23-25, 2022: Sophia Summit, participating to a panel on Explainable AI

• November 17-18, 2022: organizing the 1st Nice Workshop on Interpretability 

• November 9-11, 2022: visiting Korteweg-de Vries Institute for Mathematics (Amsterdam)

• October 3-8, 2022: talking at the Non-Linear and High Dimensional Inference workshop (Paris)

• September 5-7, 2022: talking at the ELISE Theory Workshop on Machine Learning Fundamentals (Sophia-Antipolis)

• July 25, 2022: (virtual) talk at the Simons

• July 12, 2022: Jonas Wacker's PhD defense

• June 2022: new preprint: an in-depth analysis of Anchors, a post-hoc explainability method

• June 2022: SMACE got accepted @ECML, congrats to Gianluigi on his first paper!

• May 2022: Charbel Yahchouchi started his internship

• May 29-June 4, 2022: I visited the TML group in Tuebingen

• April 4-5, 2022: giving a talk in Université Paul Sabatier (Toulouse)

• March 2022: Arthur Assad is starting his internship, welcome!

• March 10-11, 2022: visiting University of Copenhagen, thanks Simon Bartels for the invite!

• March 28-30, 2022: presenting How to scale hyperparameters for quickshift image segmentation at AISTATS 2022 

• February 2022: new preprint: scaling the hyperparameters for quickshift

• February 1, 2022: talk in Eurecom

• November 2021: I attended Sophia Summit

• November 2021: new preprint: we propose SMACE, a new method for the explainability of composite AI systems

• October 11: talk at the GdR ISIS (Paris)

• October 7: talk in the LABRI (Bordeaux)

• September 2021: Mariana succesfully defended her internship, with the top grade. Congrats!

• July 2021: the JCJC project NIM-ML, whose main goal is to develop new interpretability methods, received funding from ANR! Job offers are coming shortly.

• June 10, 2021: chairing the Interpretability and Fairness of Machine Learning session of the Journées de Statistiques

• May 2021: our paper What does LIME really see in images? has been accepted to ICML 2021!

• May 6, 2021: talk to the Orsay Probability and Statistics seminar and to the Artificial Intelligence and Geometry seminar

• April 2021: Gianluigi Lopardo and Mariana Chaves are starting their internships, welcome!

• April 14, 2021:  AISTATS (virtual). An Analysis of LIME for Text Data got an oral presentation!

• March 26, 2021: talk to the Maasai seminar

Contact

Office: Professorship for the Theory of Machine Learning

John-Skilton-Straße 8a

97074 Würzburg 

GERMANY

Email: damien.garreauatuni-wuerzburg.de (replace at by @)

Phone: +49 931 31-89206