Déborah Sulem

According to our database, Déborah Sulem authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scalable and Adaptive Variational Bayes Methods for Hawkes Processes.

Déborah Sulem, Vincent Rivoirard, Judith Rousseau

J. Mach. Learn. Res., 2025

2024

Graph similarity learning for change-point detection in dynamic networks.

Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong

Mach. Learn., January, 2024

An Empirical Study of Self-Supervised Learning with Wasserstein Distance.

Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Düsterwald, Déborah Sulem, Han Zhao, Yao-Hung Tsai

Entropy, 2024

Estimating the history of a random recursive tree.

Simon Briend, Christophe Giraud, Gábor Lugosi, Déborah Sulem

CoRR, 2024

2023

An Empirical Study of Simplicial Representation Learning with Wasserstein Distance.

Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Déborah Sulem, Han Zhao, Yao-Hung Hubert Tsai

CoRR, 2023

2022

Diverse Counterfactual Explanations for Anomaly Detection in Time Series.

Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau

CoRR, 2022

2021

Regularized spectral methods for clustering signed networks.

Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi

J. Mach. Learn. Res., 2021