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Award

Empirical Inference Ph.D. Thesis Empirical Likelihood Estimators for Robust and Causal Learning Kremer, H. Eberhard Karls Universität Tübingen, March 2026 (Published) BibTeX
Empirical Inference Ph.D. Thesis Probabilistic Machine Learning for Real-Time Gravitational-Wave Inference Dax, M. Eberhard Karls Universität Tübingen, July 2025, (MPI IS + ELLIS Institute T{\"u}bingen) (Published) BibTeX
Empirical Inference Ph.D. Thesis Bridging Deep Learning and Probabilistic Inference: Towards Data Efficiency, Identifiability, and Sampling Scalability Chen, W. University of Cambridge, UK, June 2025, (Cambridge-Tübingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis Self-Supervised Structured Representation Learning From Interaction – Group Action And Objects Composition Keurti, H. ETH Zurich, Switzerland, June 2025, CLS Fellowship Program (Published) BibTeX
Empirical Inference Ph.D. Thesis Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning Lin, J. University of Cambridge, UK, May 2025, (Cambridge-T{\"u}bingen-Fellowship-Program) (Published) BibTeX
Empirical Inference Ph.D. Thesis The Geometry of Learning Via Loss Landscape Curvature Singh, S. P. ETH Zurich, Switzerland, May 2025, CLS Fellowship Program (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning to Generalize Across Distribution Shifts Träuble, F. J. University of Tübingen, Germany, March 2025, (IMPRS-PhD-Fellowship-Program and ELLIS-PhD-Fellowship-Program) (Published) BibTeX
Empirical Inference Ph.D. Thesis Predictions, Policies, Rewards: Models of Decision-Making from Observational Data Pace, A. ETH Zurich, Switzerland, February 2025, ETH AI Center-Fellowship-Program (Published) BibTeX
Empirical Inference Ph.D. Thesis Machine Learning Meets Exoplanet Science: Methodical contributions to direct imaging and atmospheric retrieval Gebhard, T. ETH Zurich, Switzerland, January 2025 (Published) BibTeX
Empirical Inference Ph.D. Thesis Causality for Natural Language Processing Jin, Z. University of Tübingen, Germany, December 2024, (ELLIS PhD student program) (Published) URL BibTeX
Empirical Inference Ph.D. Thesis On Principled Modeling of Inductive Bias in Machine Learning Liu, W. University of Cambridge, UK, Cambridge, November 2024, (Cambridge-Tübingen-Fellowship-Program, ELLIS PhD student program) (Published) BibTeX
Empirical Inference Ph.D. Thesis Advances in Probabilistic Methods for Deep Learning Immer, A. ETH Zurich, Switzerland, September 2024, CLS PhD Program (Published) BibTeX
Empirical Inference Ph.D. Thesis A Measure-Theoretic Axiomatisation of Causality and Kernel Regression Park, J. University of Tübingen, Germany, July 2024 (Published) BibTeX
Empirical Inference Ph.D. Thesis Enhancement and Evaluation of Deep Generative Networks with Applications in Super-Resolution and Image Generation Sajjadi, S. M. M. University of Tübingen, Germany, July 2024 (Published) BibTeX
Empirical Inference Ph.D. Thesis Advancing Normalising Flows to Model Boltzmann Distributions Stimper, V. University of Cambridge, UK, Cambridge, June 2024, (Cambridge-Tübingen-Fellowship-Program) (Published) BibTeX
Empirical Inference Ph.D. Thesis Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment von Kügelgen, J. University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (Published) URL BibTeX
Empirical Inference Ph.D. Thesis Methods for Generative Modeling and Interpretable Classification with Strong Differential Privacy Harder, F. University of Tübingen, Germany, February 2024, IMPRS-PhD-Program (Published) URL BibTeX
Empirical Inference Ph.D. Thesis Stochastic Predictive Control for Legged Robots Gazar, A. University of Tübingen, Germany, December 2023 (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis Less is more: Discovering Redundancies in Data and Neural Network Models for Improved Efficiency, Interpretability and Privacy Adamczewski, K. ETH Zurich, Switzerland, August 2023 (Published) BibTeX
Empirical Inference Ph.D. Thesis Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness Karimi, A. ETH Zurich, Switzerland, July 2023 (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning and Testing Powerful Hypotheses Kübler, J. M. University of Tübingen, Germany, July 2023 (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning Identifiable Representations: Independent Influences and Multiple Views Gresele, L. University of Tübingen, Germany, June 2023 (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning with and for discrete optimization Paulus, M. ETH Zurich, Switzerland, May 2023, CLS PhD Program (Published) BibTeX
Empirical Inference Ph.D. Thesis Towards learning mechanistic models at the right level of abstraction Neitz, A. University of Tübingen, Germany, November 2022 (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning Causal Representations for Generalization and Adaptation in Supervised, Imitation, and Reinforcement Learning Lu, C. University of Cambridge, UK, Cambridge, October 2022, (Cambridge-Tübingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning Time-Continuous Dynamics Models with Gaussian-Process-Based Gradient Matching Wenk, P. ETH Zurich, Switzerland, October 2022, CLS PhD Program (Published) BibTeX
Empirical Inference Ph.D. Thesis Methods for Minimizing the Spread of Misinformation on the Web Tabibian, B. University of Tübingen, Germany, September 2022 (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence Huang, B. Carnegie Mellon University, July 2022, external supervision (Published) BibTeX
Empirical Inference Ph.D. Thesis Variational Inference in Dynamical Systems Ialongo, A. University of Cambridge, UK, Cambridge, February 2022, (Cambridge-Tübingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis Dynamics of Learning and Learning of Dynamics Mehrjou, A. ETH Zürich, Zürich, October 2021 (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis A Large Scale Brain-Computer Interface for Patients with Neurological Diseases Hohmann, M. University of Tübingen, Germany, September 2021 (Published) BibTeX
Empirical Inference Ph.D. Thesis Deep Learning Beyond The Training Distribution Parascandolo, G. ETH Zürich, Switzerland, Zürich, September 2021, (CLS Fellowship Program) (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis Causal Inference in Vision Meding, K. Eberhard Karls Universität Tübingen, Tübingen, June 2021 (Published) BibTeX
Empirical Inference Ph.D. Thesis Optimization Algorithms for Machine Learning Raj, A. University of Tübingen, Germany, June 2021 (Published) BibTeX
Empirical Inference Ph.D. Thesis Machine Learning Methods for Modeling Synthesizable Molecules Bradshaw, J. University of Cambridge, UK, Cambridge, April 2021, (Cambridge-Tübingen-Fellowship) (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis Causal Feature Selection in Neuroscience Mastakouri, A. University of Tübingen, Germany, December 2020 (Published) URL BibTeX
Empirical Inference Ph.D. Thesis Enforcing and Discovering Structure in Machine Learning Locatello, F. ETH Zurich, Switzerland, November 2020, (CLS Fellowship Program) (Published) BibTeX
Empirical Inference Ph.D. Thesis Beyond traditional assumptions in fair machine learning Kilbertus, N. University of Cambridge, UK, September 2020, (Cambridge-Tübingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis On the Geometry of Data Representations Bécigneul, G. ETH Zurich, Switzerland, September 2020, (CLS Fellowship Program) (Published) BibTeX
Empirical Inference Ph.D. Thesis Advances in Latent Variable and Causal Models Rubenstein, P. University of Cambridge, UK, July 2020, (Cambridge-Tuebingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis Converting to Optimization in Machine Learning: Perturb-and-MAP, Differential Privacy, and Program Synthesis Balog, M. University of Cambridge, UK, July 2020, (Cambridge-Tübingen-Fellowship) (Published) BibTeX
Empirical Inference Ph.D. Thesis Learning from Multi-Frame Data Wieschollek, P. University of Tübingen, Germany, July 2020 (Published) BibTeX
Empirical Inference Ph.D. Thesis Real Time Probabilistic Models for Robot Trajectories Gomez-Gonzalez, S. Technical University Darmstadt, Germany, December 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Robot Learning for Muscular Systems Büchler, D. Technical University Darmstadt, Germany, December 2019 (Published) URL BibTeX
Empirical Inference Ph.D. Thesis Learning Transferable Representations Rojas-Carulla, M. University of Cambridge, UK, February 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning Bauer, M. University of Cambridge, UK, 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Formally justified and modular Bayesian inference for probabilistic programs Ścibior*, A. University of Cambridge, UK, 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Pragmatism and Variable Transformations in Causal Modelling Weichwald, S. ETH Zurich, 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Quantification of tumor heterogeneity using PET/MRI and machine learning Katiyar, P. Eberhard Karls Universität Tübingen, Germany, 2019 (Published) BibTeX
Empirical Inference Ph.D. Thesis Sample-efficient deep reinforcement learning for continuous control Gu, S. University of Cambridge, UK, 2019 (Published) BibTeX