About me

I am a Machine Learning PhD student at the TU Berlin and ATB Potsdam, working on Explainable AI 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 Explainable AI methods – I develop methods so that we can comprehend what abstractions and concepts Deep Neural Networks learn, what is the purpose and function of individual neurons within the networks, as well as how these neurons pass information to each other, forming more complex circuits.

News

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