MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs. - Freya Behrens; Sebastian Bischoff 001; Pius Ladenburger; Julius Rückin; Laurenz Seidel; Fabian Stolp; Michael Vaichenker; Adrian Ziegler; Davide Mottin; Fatemeh Aghaei; Emmanuel Müller; Martin Preusse; et al. (WWW (Companion Volume), 2018)

Neurally Augmented ALISTA. - Freya Behrens; Jonathan Sauder; Peter Jung 001 (ICLR, 2021)

Bandits for Learning to Explain from Explanations. - Freya Behrens; Stefano Teso; Davide Mottin (CoRR, 2021)

(Dis)assortative Partitions on Random Regular Graphs. - Freya Behrens; Gabriel Arpino; Yaroslav Kivva; Lenka Zdeborová (CoRR, 2022)

Unveiling the Hessian's Connection to the Decision Boundary. - Mahalakshmi Sabanayagam; Freya Behrens; Urte Adomaityte; Anna Dawid (CoRR, 2023)

A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention. - Hugo Cui; Freya Behrens; Florent Krzakala; Lenka Zdeborová (NeurIPS, 2024)

Understanding Counting in Small Transformers: The Interplay between Attention and Feed-Forward Layers. - Freya Behrens; Luca Biggio; Lenka Zdeborová (CoRR, 2024)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. - Beatriz Borges; Negar Foroutan; Deniz Bayazit; Anna Sotnikova; Syrielle Montariol; Tanya Nazaretzky; Mohammadreza Banaei; Alireza Sakhaeirad; Philippe Servant; Seyed Parsa Neshaei; Jibril Frej; Angelika Romanou; et al. (CoRR, 2024)

Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge. - Freya Behrens; Lenka Zdeborová (CoRR, 2025)