2024
ei
Ortu, F.
Interpreting How Large Language Models Handle Facts and Counterfactuals through Mechanistic Interpretability
University of Trieste, Italy, March 2024 (mastersthesis)
2023
sf
Barocas, S., Hardt, M., Narayanan, A.
Fairness in Machine Learning: Limitations and Opportunities
MIT Press, December 2023 (book)
ei
Sakenyte, U.
Denoising Representation Learning for Causal Discovery
Université de Genèva, Switzerland, December 2023, external supervision (mastersthesis)
ei
Jenny, D.
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures
ETH Zurich, Switzerland, November 2023, external supervision (thesis)
ei
Kofler, A.
Efficient Sampling from Differentiable Matrix Elements
Technical University of Munich, Germany, September 2023 (mastersthesis)
ei
Spieler, A. M.
Intrinsic complexity and mechanisms of expressivity of cortical neurons
University of Tübingen, Germany, March 2023 (mastersthesis)
lds
ei
Kladny, K.
CausalEffect Estimation by Combining Observational and Interventional Data
ETH Zurich, Switzerland, February 2023 (mastersthesis)
ei
Qui, Z.
Towards Generative Machine Teaching
Technical University of Munich, Germany, February 2023 (mastersthesis)
ei
Schneider, F.
ArchiSound: Audio Generation with Diffusion
ETH Zurich, Switzerland, January 2023, external supervision (mastersthesis)
ei
Dittrich, A.
Generation and Quantification of Spin in Robot Table Tennis
University of Stuttgart, Germany, January 2023 (mastersthesis)
dlg
Sarvestani, A., Ruppert, F., Badri-Spröwitz, A.
An Open-Source Modular Treadmill for Dynamic Force Measurement with Load Dependant Range Adjustment
2023 (unpublished) Submitted
ei
Jin, Z., Mihalcea, R.
Natural Language Processing for Policymaking
In Handbook of Computational Social Science for Policy, pages: 141-162, 7, (Editors: Bertoni, E. and Fontana, M. and Gabrielli, L. and Signorelli, S. and Vespe, M.), Springer International Publishing, 2023 (inbook)
2022
ps
Choutas, V.
Reconstructing Expressive 3D Humans from RGB Images
ETH Zurich, Max Planck Institute for Intelligent Systems and ETH Zurich, December 2022 (thesis)
re
Lieder, F., Prentice, M.
Life Improvement Science
In Encyclopedia of Quality of Life and Well-Being Research, Springer, November 2022 (inbook)
ei
Liang, W.
Investigating Independent Mechanisms in Neural Networks
Université Paris-Saclay, France, October 2022 (mastersthesis)
ei
Keidar, D.
Modeling subgroup differences in fMRI data: disentangling subgroup-specific responses from shared ones
ETH Zurich, Switzerland, October 2022 (mastersthesis)
ei
Feil, M.
Multi-Target Multi-Object Manipulation using Relational Deep Reinforcement Learning
Technnical University Munich, Germany, September 2022 (mastersthesis)
ei
Sliwa, J.
Independent Mechanism Analysis for High Dimensions
University of Tübingen, Germany, September 2022, (Graduate Training Centre of Neuroscience) (mastersthesis)
sf
Hardt, M., Recht, B.
Patterns, Predictions, and Actions: Foundations of Machine Learning
Princeton University Press, August 2022 (book)
ei
Dominguez-Olmedo, R.
On the Adversarial Robustness of Causal Algorithmic Recourse
University of Tübingen, Germany, August 2022 (mastersthesis)
ei
Ghosh, S.
Independent Mechanism Analysis in High-Dimensional Observation Spaces
ETH Zurich, Switzerland, June 2022 (mastersthesis)
ei
Schölkopf, B., Uhler, C., Zhang, K.
Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022)
177, Proceedings of Machine Learning Research, PMLR, April 2022 (proceedings)
ei
Peters, J., Bauer, S., Pfister, N.
Causal Models for Dynamical Systems
In Probabilistic and Causal Inference: The Works of Judea Pearl, pages: 671-690, 1, Association for Computing Machinery, 2022 (inbook)
ei
plg
Karimi, A. H., von Kügelgen, J., Schölkopf, B., Valera, I.
Towards Causal Algorithmic Recourse
In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pages: 139-166, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (inbook)
ei
Schölkopf, B.
Causality for Machine Learning
In Probabilistic and Causal Inference: The Works of Judea Pearl, pages: 765-804, 1, Association for Computing Machinery, New York, NY, USA, 2022 (inbook)
ei
Salewski, L., Koepke, A. S., Lensch, H. P. A., Akata, Z.
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pages: 69-88, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (inbook)
mms
Miller, M.
Voltage dependent investigations on the spin polarization of layered heterostructues
Universität Stuttgart, Stuttgart, 2022 (mastersthesis)
2021
pf
Qiu, T., Jeong, M., Goyal, R., Kadiri, V., Sachs, J., Fischer, P.
Magnetic Micro-/Nanopropellers for Biomedicine
In Field-Driven Micro and Nanorobots for Biology and Medicine, pages: 389-410, 16, (Editors: Sun, Y. and Wang, X. and Yu, J.), Springer Nature, November 2021 (inbook)
ei
Scherrer, N.
Learning Neural Causal Models with Active Interventions
ETH Zurich, Switzerland, November 2021 (mastersthesis)
ei
Bing, S.
HealthGen: Conditional Generation of Realistic Medical Time Series with Informative Missingness
ETH Zurich, Switzerland, October 2021 (mastersthesis)
ei
Lanzillotta, G.
Study of the Interventional Consistency of Autoencoders
ETH Zurich, Switzerland, October 2021 (mastersthesis)
ei
Mambelli, D.
Training with Few to Manipulate Many. On OOD generalization in relational reinforcement learning
ETH Zurich, Switzerland, October 2021 (mastersthesis)
rm
Purnendu, , Novack, S., Acome, E., Alistar, M., Keplinger, C., Gross, M. D., Bruns, C., Leithinger, D.
Electriflow: Augmenting Books With Tangible Animation Using Soft Electrohydraulic Actuators
In ACM SIGGRAPH 2021 Labs, pages: 1-2, Association for Computing Machinery, SIGGRAPH 2021, August 2021 (inbook)
ei
Field, A., Prabhumoye, S., Sap, M., Jin, Z., Zhao, J., Brockett, C.
Proceedings of the 1st Workshop on NLP for Positive Impact
Association for Computational Linguistics, August 2021 (proceedings)
hi
Krauthausen, F.
Robotic Surgery Training in AR: Multimodal Record and Replay
pages: 1-147, University of Stuttgart, Stuttgart, May 2021, Study Program in Software Engineering (mastersthesis)
mms
Alten, F.
Direct detection of spin Hall effect induced torques in platinum/ferromagnetic bilayer systems
Universität Stuttgart, Stuttgart, January 2021 (mastersthesis)
pi
Sitti, M., Liimatainen, V.
Method of making one or more fibrils, computer implemented method of simulating an adhesive force of one or more fibrils and fibril
2021, EP Prio. Patent App. 21 162 253.5 (mpi_year_book)
ei
Belousov, B., H., A., Klink, P., Parisi, S., Peters, J.
Reinforcement Learning Algorithms: Analysis and Applications
883, Studies in Computational Intelligence, Springer International Publishing, 2021 (book)
pio
Zottino, N.
Community detection in heterogeneously attributed networks
Politecnico di Torino, 2021 (mastersthesis)
minibot
Chu, X., Wang, W., Müller, J., Schöning, H. V., Liu, Y., Weigand, B.
Turbulence Modulation and Energy Transfer in Turbulent Channel Flow Coupled with One-Side Porous Media
In High Performance Computing in Science and Engineering’20, pages: 373-386, Springer, 2021 (incollection)
2020
mms
Nacke, R.
Voltage dependent interfacial magnetism in multilayer systems
Universität Stuttgart, Stuttgart, December 2020 (thesis)
mms
Sauter, R.
Hydromagnonics: Manipulation of magnonic systems with hydrogen
Universität Stuttgart, Stuttgart, December 2020 (mastersthesis)
ei
Ahmed, O.
A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
ETH Zurich, Switzerland, October 2020 (mastersthesis)
ei
DuMont Schütte, A.
A Comprehensive Benchmark Evaluation of Synthetic Data Generation for Biomedical Imaging
ETH Zurich, Switzerland, October 2020 (mastersthesis)
ei
Cacioppo, A.
Deep learning for the parameter estimation of tight-binding Hamiltonians
University of Roma, La Sapienza, Italy, May 2020 (mastersthesis)
ei
Zecevic, M.
Learning Algorithms, Invariances, and the Real World
Technical University of Darmstadt, Germany, April 2020 (mastersthesis)
mms
Bondorf, L.
Interaction of hydrogen isotopes with flexible metal-organic frameworks
Universität Stuttgart, Stuttgart, February 2020 (mastersthesis)
icm
Dertli, Denis
Nichtgleichgewichtsdynamik einer abgekühlten kritischen Flüssigkeit mit Oberflächenfeldern unterschiedlichen Vorzeichens
Universität Stuttgart, Stuttgart, January 2020 (thesis)
ev
25th International Symposium on Vision, Modeling and Visualization, VMV 2020
(Editors: Jens Krüger and Matthias Nießner and Jörg Stückler), Eurographics Association, 2020 (proceedings)
am
ics
Marco, A., Rohr, A. V., Baumann, D., Hernández-Lobato, J. M., Trimpe, S.
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
2020 (proceedings) In revision