About me

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I am a Machine Learning PhD student at the TU Berlin and ATB Potsdam, working on Interpretable ML under the supervision of Marina Höhne and Klaus-Robert Müller. I am working at Understandable Machine Intelligence lab and I am part of BIFOLD graduate school. My work is mainly focused on Global and Mechanistic Interpretability – I develop methods that help humans to comprehend what abstractions Deep Neural Networks learn and how they use them for the decision-making.

News

07.10.24 🎙️ Gave a talk “Explainable AI: From Local to Global” at Potsdam Graduate School’s AI for Academia program.
26.09.24 📄 “CoSy: Evaluating Textual Explanations of Neurons” was accepted at NeurIPS 2024 conference.
14.09.24 📩 Became a reviwer for the Transactions of Machine Learning Research (TMLR) journal.
26.07.24 📄 “CoSy: Evaluating Textual Explanations of Neurons” and “Manipulating Feature Visualizations with Gradient Slingshots” were presented at ICML 2024 Mechanistic Interpretability Workshop.
18.07.24 🎙️ Chaired the Special Track at XAI-2024 conference on “Global and Concept-Based Explainability” in Valletta, Malta.
10.07.24 📚 Joined the Programm Committee of the 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2025).
04.06.24 📄 New preprint — “CoSy: Evaluating Textual Explanations of Neurons”
07.02.24 🎙️ Gave a talk “Intorduction to Explainable AI: how do we explain Deep Neural Networks” at BIFOLD Graduate School
23.01.24 📄 New preprint — “Manipulating Feature Visualizations with Gradient Slingshots”
16.01.24 🗓️ Our “Concept-Based global Explainability” track was accepted to XAI-2024
10.01.24 🎙️ Invited talk at BLISS Berlin about our NeurIPS 2023 paper “Labeling Neural Representations with Inverse Recognition”
14.12.23 📄 “Labeling Neural Representations with Inverse Recognition” was presented at NeurIPS 2023
14.11.23 📄 “Visalizing the Diversity of Representations Learned by Bayesian Neural Networks” was accepted at TMLR
30.09.23 🎙️ Presented “Mark My Words: Dangers of Watermarked Images in ImageNet” at XI-ML workshop at ECAI 2023 in Krakau, Poland
03.10.23 🎙️ Invited talk at MunichNLP (Video)
22.09.23 📄 “Labeling Neural Representations with Inverse Recognition” was accepted at NeurIPS 2023
11.09.23 📚 Participated in the Weizenbaum BIFOLD Summer School 2023
26.08.23 ⛵️ Sailed around the island of Majorca
26.07.23 🎙️ Presented “Finding Spurious Correlations with Function-Semantic Contrast Analysis” at xAI 2023 in Lisboa, Portugal
05.07.23 🎙️ Invited talk “Explainable AI: from local to global” at Max Delbrück Center
03.07.23 📄 “DORA: Exploring Outlier Representations in Deep Neural Networks” accepted at TMLR
24.05.23 📝 Published my first blog On Mechanical Consciousness
01.05.23 🎙️ Presenting 2 papers: “DORA: Exploring Outlier Representations in Deep Neural Networks” and “Mark My Words: Dangers of Watermarked Images in ImageNet” at ICLR 2023 at TrustML-(Un)Limited workshop in Kigali, Rwanda.
28.03.23 📄 2 papers accepted at ICLR2023 at TrustML-(Un)Limited workshop
23.06.22 📚 Participated in the Weizenbaum BIFOLD Summer School 2022
02.06.22 🎙️ Panel discussion on Fair and Trustworthy AI at HelmholtzAI2022 conference
25.02.22 🎙️ Presented “NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights” at AAAi 2022 conference
02.12.21 📄 “NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights” acepted at AAAi 2022 conference
18.10.21 🎙️ Invited lecture on Explainable AI at Saint-Petersburg State University Graduate School of Management (Video in Russian)
23.05.21 🎙️ Invited talk on “Explaining hidden representations” at ODS DataFest 2021 (Video in Russian)
01.01.2021 🐣 Start of the PhD