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I am a postdoctoral researcher in the Explainable Machine Learning group at TUM and Helmholtz Munich, led by Prof. Zeynep Akata. My research spans Explainable AI and Mechanistic Interpretability for computer vision and natural language processing, with a focus on developing principled methods to better understand and improve deep neural networks.
Before my current position, I completed a Ph.D. in Computer Science (summa cum laude) at TU Berlin under the supervision of Prof. Marina Höhne and Prof. Klaus-Robert Müller. My thesis, “Explaining Representations in Deep Neural Networks,” focused on Explainable AI and the mechanistic interpretability of computer vision models.
Prior to my Ph.D., I earned an M.Sc. (cum laude) in Data Science and Engineering from TU Berlin and TU Eindhoven, and a B.Sc. in Applied Mathematics and Computer Science from Saint Petersburg State University.
- 09.05.26 📄 New preprint --- "Do LLMs Experience an Internal Polylogue? Investigating Reasoning through the Lens of Personas"
- 24.03.26 🎙️ Chaired the SaTML 2026 Safety and Alignment session.
- 18.09.25 📄 "Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework" and "Manipulating Feature Visualizations with Gradient Slingshots" were accepted to NeurIPS 2025.
- 01.08.25 🧑🔬 Started a postdoctoral position in the Explainable Machine Learning group at Technical University of Munich.
- 21.07.25 🎉 Defended my Ph.D. thesis with distinction (summa cum laude)!
- 18.06.25 📄 New preprint --- "Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework"
- 16.06.25 🎙️ Gave a talk "GLOBE: Global Explanation of Deep Neural Networks" at Marburg University
- 11.06.25 🎉 Submitted my Ph.D. thesis!
- 24.12.24 🏆 Dilyara Bareeva has been awarded the Rolf Niedermeier Prize 2024 for her outstanding thesis, which I had the privilege to supervise.
- 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 to NeurIPS 2024.
- 14.09.24 📩 Became a reviewer 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 on "Global and Concept-Based Explainability" at XAI 2024 in Valletta, Malta.
- 10.07.24 📚 Joined the Program 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 "Introduction 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 📄 "Visualizing the Diversity of Representations Learned by Bayesian Neural Networks" was accepted by TMLR
- 03.10.23 🎙️ Invited talk at MunichNLP (Video)
- 30.09.23 🎙️ Presented "Mark My Words: Dangers of Watermarked Images in ImageNet" at the XI-ML workshop at ECAI 2023 in Krakow, Poland
- 22.09.23 📄 "Labeling Neural Representations with Inverse Recognition" was accepted to 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 Lisbon, 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" was accepted by TMLR
- 24.05.23 📝 Published my first blog On Mechanical Consciousness
- 01.05.23 🎙️ Presented two papers, "DORA: Exploring Outlier Representations in Deep Neural Networks" and "Mark My Words: Dangers of Watermarked Images in ImageNet", at the ICLR 2023 TrustML-(Un)Limited workshop in Kigali, Rwanda.
- 28.03.23 📄 Two papers were accepted to the ICLR 2023 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 Helmholtz AI 2022
- 25.02.22 🎙️ Presented "NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights" at the AAAI 2022 conference
- 02.12.21 📄 "NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights" was accepted to the 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)
- 01.01.21 🐣 Started my Ph.D.
Paper|Code|Twitter Thread
Paper|Code|Twitter Thread
Paper|Code|Twitter Thread
Paper|Code|Twitter Thread
Paper|Code|Twitter Thread
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