Zabel, S., Hennig, P., Nieselt, K. VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis IEEE Transactions on Visualization and Computer Graphics, 30(4):2011-2022, April 2024 (article)

DOI [BibTex]

von Kügelgen, J. Identifiable Causal Representation Learning University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (phdthesis)

[BibTex]

Pals, M., Macke, J. H., Barak, O. Trained recurrent neural networks develop phase-locked limit cycles in a working memory task PLOS Computational Biology, 20(2), February 2024 (article)

DOI [BibTex]

Peisen, F., Gerken, A., Dahm, I., Nikolaou, K., Eigentler, T., Amaral, T., Moltz, J. H., Othman, A. E., Gatidis, S. Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy PLOS ONE, 19(1), January 2024 (article)

DOI [BibTex]

Gebhard, T. D., Angerhausen, D., Konrad, B. S., Alei, E., Quanz, S. P., Schölkopf, B. Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks Astronomy & Astrophysics, 681, 2024 (article)

DOI [BibTex]

Tsirtsis, S., Tabibian, B., Khajehnejad, M., Singla, A., Schölkopf, B., Gomez-Rodriguez, M. Optimal Decision Making Under Strategic Behavior Management Science, 2024, Published Online (article) In press

DOI [BibTex]

Laumann, F., von Kügelgen, J., Park, J., Schölkopf, B., Barahona, M. Kernel-Based Independence Tests for Causal Structure Learning on Functional Data Entropy (Basel), 25(12), November 2023 (article)

DOI [BibTex]

Hayoz, J., Cugno, G., Quanz, S. P., Patapis, P., Alei, E., Bonse, M. J., Dannert, F. A., Garvin, E. O., Gebhard, T. D., Konrad, B. S., Sartori, L. F. CROCODILE - Incorporating medium-resolution spectroscopy of close-in directly imaged exoplanets into atmospheric retrievals via cross-correlation Astronomy & Astrophysics, 678, October 2023 (article)

DOI [BibTex]

Hupkes, D., Giulianelli, M., Dankers, V., Artetxe, M., Elazar, Y., Pimentel, T., Christodoulopoulos, C., Lasri, K., Saphra, N., Sinclair, A., Ulmer, D., Schottmann, F., Batsuren, K., Sun, K., Sinha, K., Khalatbari, L., Ryskina, M., Frieske, R., Cotterell, R., Jin, Z. A taxonomy and review of generalization research in NLP Nature Machine Intelligence, 5(10):1161-1174, October 2023 (article)

DOI [BibTex]

Peisen, F., Gerken, A., Dahm, I., Nikolaou, K., Eigentler, T., Amaral, T., Moltz, J. H., Othman, A. E., Gatidis, S., Dondi, F. Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study Diagnostics (Basel), 13(20), October 2023 (article)

DOI [BibTex]

Boelts, J., Harth, P., Gao, R., Udvary, D., Yáñez, F., Baum, D., Hege, H., Oberlaender, M., Macke, J. H. Simulation-based inference for efficient identification of generative models in computational connectomics PLOS Computational Biology, 19(9):1-28, September 2023 (article)

DOI [BibTex]

Hawkins-Hooker, A., Visonà, G., Narendra, T., Rojas-Carulla, M., Schölkopf, B., Schweikert, G. Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning Nature Communications, 14(1), August 2023 (article)

DOI [BibTex]

Vaughan, S. R., Gebhard, T. D., Bott, K., Casewell, S. L., Cowan, N. B., Doelman, D. S., Kenworthy, M., Mazoyer, J., Millar-Blanchaer, M. A., Trees, V. J. H., Stam, D. M., Absil, O., Altinier, L., Baudoz, P., Belikov, R., Bidot, A., Birkby, J. L., Bonse, M. J., Brandl, B., Carlotti, A., Choquet, E., van Dam, D., Desai, N., Fogarty, K., Fowler, J., van Gorkom, K., Gutierrez, Y., Guyon, O., Haffert, S. Y., Herscovici-Schiller, O., Hours, A., Juanola-Parramon, R., Kleisioti, E., König, L., van Kooten, M., Krasteva, M., Laginja, I., Landman, R., Leboulleux, L., Mouillet, D., N’Diaye, M., Por, E. H., Pueyo, L., Snik, F. Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory Monthly Notices of the Royal Astronomical Society, 524(4):5477-5485, August 2023 (article)

DOI [BibTex]

Bonse, M. J., Garvin, E. O., Gebhard, T. D., Dannert, F. A., Cantalloube, F., Cugno, G., Absil, O., Hayoz, J., Milli, J., Kasper, M., Quanz, S. P. Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-contrast Imaging in the Presence of Non-Gaussian Noise The American Astronomical Society, 166(2), July 2023 (article)

DOI [BibTex]

Karimi, A. Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness ETH Zurich, Switzerland, July 2023 (phdthesis)

[BibTex]

Ortiz-Jimenez*, G., de Jorge*, P., Sanyal, A., Bibi, A., Dokania, P. K., Frossard, P., Rogez, G., Torr, P. Catastrophic overfitting can be induced with discriminative non-robust features Transactions on Machine Learning Research , July 2023, *equal contribution (article)

PDF Code link (url) [BibTex]

Kübler, J. M. Learning and Testing Powerful Hypotheses University of Tübingen, Germany, July 2023 (phdthesis)

[BibTex]

Kekić, A., Dehning, J., Gresele, L., von Kügelgen, J., Priesemann, V., Schölkopf, B. Evaluating vaccine allocation strategies using simulation-assisted causal modeling Patterns, 4(6), June 2023 (article)

link (url) DOI [BibTex]

Gresele, L. Learning Identifiable Representations: Independent Influences and Multiple Views University of Tübingen, Germany, June 2023 (phdthesis)

[BibTex]

Katiyar, P., Schwenck, J., Frauenfeld, L., Divine, M. R., Agrawal, V., Kohlhofer, U., Gatidis, S., Kontermann, R., Königsrainer, A., Quintanilla-Martinez, L., la Fougère, C., Schölkopf, B., Pichler, B. J., Disselhorst, J. A. Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data Nature Biomedical Engineering, 7(8):1014-1027, June 2023 (article)

DOI [BibTex]

Badirli, S., Picard, C. J., Mohler, G., Richert, F., Akata, Z., Dundar, M. Classifying the unknown: Insect identification with deep hierarchical Bayesian learning Methods in Ecology and Evolution, 14(6):1515-1530, June 2023 (article)

DOI [BibTex]

Gatidis, S., Kart, T., Fischer, M., Winzeck, S., Glocker, B., Bai, W., Bülow, R., Emmel, C., Friedrich, L., Kauczor, H., Keil, T., Kröncke, T., Mayer, P., Niendorf, T., Peters, A., Pischon, T., Schaarschmidt, B., Schmidt, B., Schulze, M., Umutle, L., Völzke, H., Küstner, T., Bamberg, F., Schölkopf, B., Rueckert, D. Better Together: Data Harmonization and Cross-StudAnalysis of Abdominal MRI Data From UK Biobank and the German National Cohort Investigative Radiology, 58(5):346-354, May 2023 (article)

DOI [BibTex]

Paulus, M. Learning with and for discrete optimization (ETH Zurich, Switzerland), May 2023, CLS PhD Program (phdthesis)

[BibTex]

Mineeva*, O., Danciu*, D., Schölkopf, B., Ley, R. E., Rätsch, G., Youngblut, N. D. ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning PLOS Computational Biology, 19(5), Public Library of Science, May 2023, *equal contribution (article)

DOI [BibTex]

Kanagawa, H., Jitkrittum, W., Mackey, L., Fukumizu, K., Gretton, A. A Kernel Stein Test for Comparing Latent Variable Models Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(3):986-1011, May 2023 (article)

arXiv DOI [BibTex]

Blum, D., Hepp, T., Belov, V., Goya-Maldonado, R., la Fougère, C., Reimold, M. Estimating uncertainty in read-out patterns: Application to controls-based denoising and voxel-based morphometry patterns in neurodegenerative and neuropsychiatric diseases Human Brain Mapping, 44(7):2802-2814, May 2023 (article)

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Kim, J., Singh, S., Vales, C., Keebler, E., Fisher, A. V., Thiessen, E. D. Staying and Returning dynamics of young children’s attention Developmental Science, 26(6), May 2023 (article)

DOI [BibTex]

Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez-Villegas, J. F., Logothetis, N., Besserve, M. Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis PLOS Computational Biology, 19(4):1-45, Public Library of Science, April 2023 (article)

bioRxiv DOI Project Page [BibTex]

Schreiber*, J., Boix*, C., Lee, J. W., Li, H., Guan, Y., Chang, C., Chang, J., Hawkins-Hooker, A., Schölkopf, B., Schweikert, G., Carulla, M. R., Canakoglu, A., Guzzo, F., Nanni, L., Masseroli, M., Carman, M. J., Pinoli, P., Hong, C., Yip, K. Y., Spence, J. P., Batra, S. S., Song, Y. S., Mahony, S., Zhang, Z., Tan, W., Shen, Y., Sun, Y., Shi, M., Adrian, J., Sandstrom, R., Farrell, N., Halow, J., Lee, K., Jiang, L., Yang, X., Epstein, C., Strattan, J. S., Bernstein, B., Snyder, M., Kellis, M., Stafford, W., Kundaje, A., ENCODE Imputation Challenge Participants, The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles Genome Biology, 24, April 2023, *co‑first authors (article)

DOI [BibTex]

Wildberger, J., Dax, M., Green, S. R., Gair, J., Pürrer, M., Macke, J. H., Buonanno, A., Schölkopf, B. Adapting to noise distribution shifts in flow-based gravitational-wave inference Physical Review D, 107(8), April 2023 (article)

DOI [BibTex]

Dax, M., Green, S. R., Gair, J., Pürrer, M., Wildberger, J., Macke, J. H., Buonanno, A., Schölkopf, B. Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Physical Review Letters, 130(17), April 2023 (article)

DOI [BibTex]

Zhang, R., Imaizumi, M., Schölkopf, B., Muandet, K. Instrumental variable regression via kernel maximum moment loss Journal of Causal Inference, 11(1), April 2023 (article)

DOI [BibTex]

Athanassiadis, A. G., Schlieder, L., Melde, K., Volchkov, V., Schölkopf, B., Fischer, P. Multiplane Diffractive Acoustic Networks IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 70(5):441-448, IEEE, March 2023 (article)

DOI [BibTex]

Gupta, P., Maharaj, T., Weiss, M., Rahaman, N., Alsdurf, H., Minoyan, N., Harnois-Leblanc, S., Merckx, J., Williams, A., Schmidt, V., St-Charles, P., Patel, A., Zhang, Y., Buckeridge, D. L., Pal, C., Schölkopf, B., Bengio, Y. Proactive Contact Tracing PLOS Digital Health, 2(3):1-19, March 2023 (article)

DOI [BibTex]

Fischer, M., Hepp, T., Gatidis, S., Yang, B. Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations Computerized Medical Imaging and Graphics, 104, March 2023 (article)

DOI [BibTex]

Dangel*, F., Tatzel*, L., Hennig, P. ViViT: Curvature Access Through The Generalized Gauss-Newton’s Low-Rank Structure Transactions on Machine Learning Research, February 2023, *equal contribution (article)

link (url) [BibTex]

Choe, J., Oh, S. J., Chun, S., Lee, S., Akata, Z., Shim, H. Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1732-1748, February 2023 (article)

DOI [BibTex]

Liu, W., Wen, Y., Raj, B., Singh, R., Weller, A. SphereFace Revived: Unifying Hyperspherical Face Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2458-2474, February 2023 (article)

DOI [BibTex]

Koepke, A. S., Oncescu, A., Henriques, J. F., Akata, Z., Albanie, S. Audio Retrieval With Natural Language Queries: A Benchmark Study IEEE Transactions on Multimedia, 25, pages: 2675-2685, January 2023 (article)

DOI [BibTex]

Büchler, D., Calandra, R., Peters, J. Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots Robotics and Autonomous Systems, 159, January 2023 (article)

Arxiv Video DOI [BibTex]

Mehrjou, A., Iannelli, A., Schölkopf, B. Learning Dynamical Systems using Local Stability Priors Journal of Computational Dynamics, 10(1):175-198, January 2023, Special issue "Computation of Lyapunov functions and contraction metrics" (article)

DOI [BibTex]

Jerbi, S., Fiderer, L. J., Poulsen Nautrup, H., Kübler, J. M., Briegel, H. J., Dunjko, V. Quantum machine learning beyond kernel methods Nature Communications, 14(1), January 2023 (article)

DOI [BibTex]

Mehrjou*, A., Soleymani*, A., Abyaneh, A., Bhatt, S., Schölkopf, B., Bauer, S. Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases PLOS Computational Biology, 19(1):1-41, January 2023, *equal contribution (article)

DOI [BibTex]

Xian*, R. P., Stimper*, V., Zacharias, M., Dendzik, M., Dong, S., Beaulieu, S., Schölkopf, B., Wolf, M., Rettig, L., Carbogno, C., Bauer, S., Ernstorfer, R. A machine learning route between band mapping and band structure Nature Computational Science, 3(1):101-114, January 2023, *equal contribution (article)

arXiv DOI [BibTex]

Shao, K., Logothetis, N. K., Besserve, M. Information theoretic measures of causal influences during transient neural events Frontiers in Network Physiology, 3, 2023 (article)

link (url) DOI [BibTex]

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)

arxiv poster link (url) [BibTex]

Stimper, V., Liu, D., Campbell, A., Berenz, V., Ryll, L., Schölkopf, B., Hernández-Lobato, J. M. normflows: A PyTorch Package for Normalizing Flows Journal of Open Source Software, 8(86):5361, The Journal of Open Source Software, 2023 (article)

JOSS GitHub link (url) DOI [BibTex]

Fay, L., Cobos, E., Yang, B., Gatidis, S., Küstner, T. Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing IEEE Access, 11, pages: 64070-64086, 2023 (article)

DOI [BibTex]

Melde, K., Kremer, H., Shi, M., Seneca, S., Frey, C., Platzman, I., Degel, C., Schmitt, D., Schölkopf, B., Fischer, P. Compact holographic sound fields enable rapid one-step assembly of matter in 3D Science Advances, 9(6), 2023 (article)

link (url) DOI [BibTex]

Meduri, A., Shah, P., Viereck, J., Khadiv, M., Havoutis, I., Righetti, L. BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning IEEE Transactions on Robotics, 39(2):905-922, IEEE, 2023 (article)

DOI [BibTex]