2024
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Matthew, V., Simancek, R. E., Telepo, E., Machesky, J., Willman, H., Ismail, A. B., Schulz, A. K.
Empowering Change: The Role of Student Changemakers in Advancing Sustainability within Engineering Education
Proceedings of the American Society of Engineering Education (ASEE), June 2024, Victoria Matthew and Andrew K. Schulz contributed equally to this publication. (issue) In press
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Ortu, F.
Interpreting How Large Language Models Handle Facts and Counterfactuals through Mechanistic Interpretability
University of Trieste, Italy, March 2024 (mastersthesis)
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Eberhard, O., Vernade, C., Muehlebach, M.
A Pontryagin Perspective on Reinforcement Learning
Max Planck Institute for Intelligent Systems, 2024 (techreport)
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Er, D., Trimpe, S., Muehlebach, M.
Distributed Event-Based Learning via ADMM
Max Planck Institute for Intelligent Systems, 2024 (techreport)
2023
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Barocas, S., Hardt, M., Narayanan, A.
Fairness in Machine Learning: Limitations and Opportunities
MIT Press, December 2023 (book)
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Sakenyte, U.
Denoising Representation Learning for Causal Discovery
Université de Genèva, Switzerland, December 2023, external supervision (mastersthesis)
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Keplinger, C. M., Acome, E. L., Kellaris, N. A., Mitchell, S. K.
Hydraulically Amplified Self-healing Electrostatic Actuators
(US Patent 11795979B2), October 2023 (patent)
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Kofler, A.
Efficient Sampling from Differentiable Matrix Elements
Technical University of Munich, Germany, September 2023 (mastersthesis)
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Keplinger, C. M., Wang, X., Mitchell, S. K.
High Strain Peano Hydraulically Amplified Self-Healing Electrostatic (HASEL) Transducers
(US Patent App. 18/138,621), August 2023 (patent)
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Correll, N., Ly, K. D., Kellaris, N. A., Keplinger, C. M.
Capacitive Self-Sensing for Electrostatic Transducers with High Voltage Isolation
(US Patent App. 17/928,453), June 2023 (patent)
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Keplinger, C. M., Wang, X., Mitchell, S. K.
High Strain Peano Hydraulically Amplified Self-healing Electrostatic (HASEL) Transducers
(US Patent 11635094), April 2023 (patent)
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Spieler, A. M.
Intrinsic complexity and mechanisms of expressivity of cortical neurons
University of Tübingen, Germany, March 2023 (mastersthesis)
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Kladny, K.
CausalEffect Estimation by Combining Observational and Interventional Data
ETH Zurich, Switzerland, February 2023 (mastersthesis)
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Qui, Z.
Towards Generative Machine Teaching
Technical University of Munich, Germany, February 2023 (mastersthesis)
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Schneider, F.
ArchiSound: Audio Generation with Diffusion
ETH Zurich, Switzerland, January 2023, external supervision (mastersthesis)
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Dittrich, A.
Generation and Quantification of Spin in Robot Table Tennis
University of Stuttgart, Germany, January 2023 (mastersthesis)
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Sarvestani, A., Ruppert, F., Badri-Spröwitz, A.
An Open-Source Modular Treadmill for Dynamic Force Measurement with Load Dependant Range Adjustment
2023 (unpublished) Submitted
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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)
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Wang, T., Hu, W., Sitti, M.
Tube-shaped robotic device with anisotropic surface structure
2023, US Patent App. 18/133,104 (patent)
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Drotlef, D., Sitti, M., Amjadi, M.
Carrier, use of a carrier, method of activating a carrier and method of making a carrier
2023, US Patent App. 16/500,442 (patent)
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Berenz, V., Widmaier, F., Guist, S., Schölkopf, B., Büchler, D.
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robot Software Architectures Workshop (RSA) 2023, ICRA, 2023 (techreport)
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Sitti, M., Aksak, B.
Microfibers with mushroom-shaped tips for optimal adhesion
2023, US Patent 11,613,674 (patent)
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Elich, C., Kirchdorfer, L., Köhler, J. M., Schott, L.
Challenging Common Assumptions in Multi-task Learning
abs/2311.04698, CoRR/arxiv, 2023 (techreport)
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Zhang, J., Ren, Z., Hu, W., Sitti, M.
Method of fabricating a magnetic deformable machine and deformable 3D magnetic machine
2023, US Patent App. 18/020,161 (patent)
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Son, D., Ugurlu, M., Bluemer, P., Sitti, M.
Magnetic trap system and method of navigating a microscopic device
2023, US Patent App. 17/871,598 (patent)
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Sitti, M., Drotlef, D., Liimatainen, V.
A Liquid Repellent Fibrillar Dry Adhesive Material and a Method of Producing the Same
2023, US Patent App. 17/785,452 (patent)
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Sitti, M., Son, D., Dong, X.
Simultaneous calibration method for magnetic localization and actuation systems
2023, US Patent 11,717,142 (patent)
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M Sitti, M. M. B. A.
Dry adhesives and methods for making dry adhesives
2023, US Patent 11,773,298, 2023 (patent)
2022
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Metin Sitti, Michael Murphy, Burak Aksak
DRY ADHESIVES AND METHODS FOR MAKING DRY ADHESIVES
December 2022, US Patent App. 17/895,334, 2022 (patent)
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Choutas, V.
Reconstructing Expressive 3D Humans from RGB Images
ETH Zurich, Max Planck Institute for Intelligent Systems and ETH Zurich, December 2022 (thesis)
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Keplinger, C. M., Acome, E. L., Kellaris, N. A., Mitchell, S. K., Morrissey, T. G.
Hydraulically Amplified Self-healing Electrostatic Transducers Harnessing Zipping Mechanism
(US Patent 11486421B2), November 2022 (patent)
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Lieder, F., Prentice, M.
Life Improvement Science
In Encyclopedia of Quality of Life and Well-Being Research, Springer, November 2022 (inbook)
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Mitchell, S. K., Acome, E. L., Keplinger, C. M.
Hydraulically Amplified Self-Healing Electrostatic (HASEL) Pumps
(US Patent App. 17/635,339), October 2022 (patent)
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Liang, W.
Investigating Independent Mechanisms in Neural Networks
Université Paris-Saclay, France, October 2022 (mastersthesis)
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Keidar, D.
Modeling subgroup differences in fMRI data: disentangling subgroup-specific responses from shared ones
ETH Zurich, Switzerland, October 2022 (mastersthesis)
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Feil, M.
Multi-Target Multi-Object Manipulation using Relational Deep Reinforcement Learning
Technnical University Munich, Germany, September 2022 (mastersthesis)
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Sliwa, J.
Independent Mechanism Analysis for High Dimensions
University of Tübingen, Germany, September 2022, (Graduate Training Centre of Neuroscience) (mastersthesis)
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Jähnichen, S., Weber, F., Prentice, M., Lieder, F.
Does deliberate prospection help students set better goals?
KogWis 2022 "Understanding Minds", September 2022 (poster) Accepted
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Keplinger, C. M., Acome, E. L., Kellaris, N. A., Mitchell, S. K.
Hydraulically Amplified Self-healing Electrostatic Actuators
(US Patent 11408452), August 2022 (patent)
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Hardt, M., Recht, B.
Patterns, Predictions, and Actions: Foundations of Machine Learning
Princeton University Press, August 2022 (book)
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Dominguez-Olmedo, R.
On the Adversarial Robustness of Causal Algorithmic Recourse
University of Tübingen, Germany, August 2022 (mastersthesis)
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Ghosh, S.
Independent Mechanism Analysis in High-Dimensional Observation Spaces
ETH Zurich, Switzerland, June 2022 (mastersthesis)
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Keplinger, C. M., Mitchell, S. K., Kellaris, N. A., Rothemund, P.
Composite Layering of Hydraulically Amplified Self-Healing Electrostatic Transducers
(US Patent App. 17436455), May 2022 (patent)
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Ruppert, F., Badri-Spröwitz, A.
Learning Plastic Matching of Robot Dynamics in Closed-Loop Central Pattern Generators: Data
Edmond, May 2022 (techreport)
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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)
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Badri-Spröwitz, A., Sarvestani, A. A., Sitti, M., Daley, M. A.
Data for BirdBot Achieves Energy-Efficient Gait with Minimal Control Using Avian-Inspired Leg Clutching
Edmond, March 2022 (techreport)
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Li, H., Stueckler, J.
Observability Analysis of Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
abs/2204.06651, CoRR/arxiv, 2022 (techreport)
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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)
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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)
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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)