2024
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)
von Kügelgen, J.
Identifiable Causal Representation Learning
University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (phdthesis)
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)
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)
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)
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
2023
Visonà, G., Spiller, L. M., Hahn, S., Hattingen, E., Vogl, T. J., Schweikert, G., Bankov, K., Demes, M., Reis, H., Wild, P., Zeiner, P. S., Acker, F., Sebastian, M., Wenger, K. J.
Machine-Learning-Aided Prediction of Brain Metastases Development in Non-Small-Cell Lung Cancers
Clinical lung cancer, 24(8):e311-e322, December 2023 (article)
Visonà, G., Duroux, D., Miranda, L., Sükei, E., Li, Y., Borgwardt, K., Oliver, C.
Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information
Bioinformatics, 39(12), December 2023 (article)
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)
Kerber, B., Hepp, T., Küstner, T., Gatidis, S.
Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population
PLOS ONE, 18(11), November 2023 (article)
Cao, X., Liu, W., Tsang, I. W.
Data-Efficient Learning via Minimizing Hyperspherical Energy
IEEE transactions on pattern analysis and machine intelligence, 45(11):13422-13437, November 2023 (article)
Feuerecker, B., Heimer, M. M., Geyer, T., Fabritius, M. P., Gu, S., Schachtner, B., Beyer, L., Ricke, J., Gatidis, S., Ingrisch, M., Cyran, C. C.
Artificial Intelligence in Oncological Hybrid Imaging
Nuklearmedizin, 62(5):296-305, October 2023 (article)
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)
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)
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)
Malinverno, L., Barros, V., Ghisoni, F., Visonà, G., Kern, R., Nickel, P. J., Ventura, B. E., Šimić, I., Stryeck, S., Manni, F., Ferri, C., Jean-Quartier, C., Genga, L., Schweikert, G., Lovrić, M., Rosen-Zvi, M.
A historical perspective of biomedical explainable AI research
Patterns, 4(9), September 2023 (article)
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)
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)
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)
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)
Karimi, A.
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness
ETH Zurich, Switzerland, July 2023 (phdthesis)
Wellnitz, D., Kekić, A., Heiss, J., Gertz, M., Weidemüller, M., Spitz, A.
A network approach to atomic spectra
Journal of Physics: Complexity, 4(3), July 2023 (article)
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)
Kübler, J. M.
Learning and Testing Powerful Hypotheses
University of Tübingen, Germany, July 2023 (phdthesis)
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)
Gresele, L.
Learning Identifiable Representations: Independent Influences and Multiple Views
University of Tübingen, Germany, June 2023 (phdthesis)
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)
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)
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)
Paulus, M.
Learning with and for discrete optimization
(ETH Zurich, Switzerland), May 2023, CLS PhD Program (phdthesis)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., Bronstein, A. M., Mottin, D., Karras, P.
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions
ACM Transactions on Knowledge Discovery from Data, 17(4), February 2023 (article)
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)
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)
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)
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)
Büchler, D., Calandra, R., Peters, J.
Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots
Robotics and Autonomous Systems, 159, January 2023 (article)
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)
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)