Prof. Dr. Volker Roth

Salikhanov, I., Roth, V., Gahl, B., Reid, G., Kolb, R., Dimanski, D., Kowol, B., Mawad, B. M., Reuthebuch, O., & Berdajs, D. (2025). Machine Learning-Based Prediction of Short-Term Mortality After Coronary Artery Bypass Grafting: A Retrospective Cohort Study [Journal-article]. Biomedicines, 13(8), 2023. https://doi.org/10.3390/biomedicines13082023

Negri, M.M., Aellen, J., & Roth, V. (2025). Injective flows for star-like manifolds. In arXiv. https://doi.org/10.48550/arXiv.2406.09116

Nagy-Huber, Monika, & Roth, Volker. (2024). Physics-informed boundary integral networks (PIBI-Nets): A data-driven approach for solving partial differential equations. Journal of Computational Science, 81. https://doi.org/10.1016/j.jocs.2024.102355

Arend Torres, Fabricio, Negri,Marcello Massimo, Inversi, Marco, Aellen, Jonathan, & Roth, Volker. (2024, May 7). Lagrangian Flow Networks for Conservation Laws. The Twelfth International Conference on Learning Representations. https://openreview.net/forum?id=Nshk5YpdWE

Schwendinger, Fabian, Biehler, Ann-Kathrin, Nagy-Huber, Monika, Knaier, Raphael, Roth, Volker, Dumitrescu, Daniel, Meyer, F. Joachim, Hager, Alfred, & Schmidt-Trucksäss, Arno. (2024). Using Machine Learning–Based Algorithms to Identify and Quantify Exercise Limitations in Clinical Practice: Are We There Yet? Medicine and Science in Sports and Exercise, 56(2), 159–169. https://doi.org/10.1249/MSS.0000000000003293

Hauke, Daniel J., Wobmann, Michelle, Andreou, Christina, Mackintosh, Amatya J., DE BOCK, Renate, Karvelis, Povilas, Adams, Rick A., Sterzer, Philipp, Borgwardt, Stefan, Roth, Volker, & Diaconescu, Andreea O. (2024). Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis. Computational Psychiatry, 8(1), 1–22. https://doi.org/10.5334/cpsy.95

Torres, Fabricio Arend, Negri, Marcello M., Inversi, Marco, Aellen, Jonathan, & Roth, Volker. (2024, January 1). LAGRANGIAN FLOW NETWORKS FOR CONSERVATION LAWS. 12th International Conference on Learning Representations, ICLR 2024.

Gschwandtner, Ute, Bogaarts, Guy, Roth, Volker, & Fuhr, Peter. (2023). Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC). Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-32345-6

Gschwandtner, Ute, Bogaarts, Guy, Roth, Volker, & Fuhr, Peter. (2023). Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC) [Journal-article]. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-32345-6

Hauke, Daniel J., Charlton, Colleen E., Schmidt, André, Griffiths, John D., Woods, Scott W., Ford, Judith M., Srihari, Vinod H., Roth, Volker, Diaconescu, Andreea O., & Mathalon, Daniel H. (2023). Aberrant Hierarchical Prediction Errors Are Associated With Transition to Psychosis: A Computational Single-Trial Analysis of the Mismatch Negativity. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 8(12), 1176–1185. https://doi.org/10.1016/j.bpsc.2023.07.011

Steppan, Martin, Zimmermann, Ronan, Fürer, Lukas, Southward, Matthew, Koenig, Julian, Kaess, Michael, Kleinbub, Johann Roland, Roth, Volker, & Schmeck, Klaus. (2023). Machine Learning Facial Emotion Classifiers in Psychotherapy Research: A Proof-of-Concept Study. Psychopathology, 57(3), 159–168. https://doi.org/10.1159/000534811

Bedford, Peter, Hauke, Daniel J., Wang, Zheng, Roth, Volker, Nagy-Huber, Monika, Holze, Friederike, Ley, Laura, Vizeli, Patrick, Liechti, Matthias E., Borgwardt, Stefan, Müller, Felix, & Diaconescu, Andreea O. (2023). The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity. Neuropsychopharmacology, 48(8), 1175–1183. https://doi.org/10.1038/s41386-023-01574-8

Hauke, D. J., Wobmann, M., Andreou, C., Mackintosh, A., de Bock, R., Karvelis, P., Adams, R. A., Sterzer, P., Borgwardt, S., Roth, V., & Diaconescu, A. O. (2023, February 6). Aberrant perception of environmental volatility during social learning in emerging psychosis [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2023.02.02.23285371

Negri, Marcello Massimo, Arend Torres, Fabricio, & Roth, Volker. (2023). Conditional Matrix Flows for Gaussian Graphical Models. Advances in Neural Information Processing Systems, 36, 25095–25111. https://proceedings.neurips.cc/paper_files/paper/2023/file/4eef8829319316d0b552328715c836c3-Paper-Conference.pdf

Hauke, D. J., Charlton, C. E., Schmidt, A., Griffiths, J., Woods, S. W., Ford, J. M., Srihari, V. H., Roth, V., Diaconescu, A. O., & Mathalon, D. H. (2022). Aberrant hierarchical prediction errors are associated with transition to psychosis: A computational single-trial analysis of the mismatch negativity [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.12.20.22283712

Bedford, P., Hauke, D. J., Wang, Z., Roth, V., Nagy-Huber, M., Holze, F., Ley, L., Vizeli, P., Liechti, M. E., Borgwardt, S., Müller, F., & Diaconescu, A. O. (2022). The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2022.11.01.514687

Arend Torres, Fabricio, Negri, Marcello Massimo, Nagy-Huber, Monika, Samarin, Maxim, & Roth, Volker. (2022). Mesh-free eulerian physics-informed neural networks. https://doi.org/10.48550/arxiv.2206.01545

Hauke D.J., Roth V., Karvelis P., Adams R.A., Moritz S., Borgwardt S., Diaconescu A.O., & Andreou C. (2022). Increased Belief Instability in Psychotic Disorders Predicts Treatment Response to Metacognitive Training. Schizophrenia Bulletin, 48(4), 826–838. https://doi.org/10.1093/schbul/sbac029

Maxim Samarin, Volker Roth, & David Belius. (2022, January 1). Feature Learning and Random Features in Standard Finite-Width Convolutional Neural Networks: An Empirical Study. Uai. https://openreview.net/forum?id=ScIEZdIiqe5

Nesterov, Vitali, Torres, Fabricio Arend, Nagy-Huber, Monika, Samarin, Maxim, & Roth, Volker. (2022). Learning Invariances with Generalised Input-Convex Neural Networks. https://doi.org/10.48550/arxiv.2204.07009

Gschwandtner, Ute, Bogaarts, Guy, Chaturvedi, Menorca, Hatz, Florian, Meyer, Antonia, Fuhr, Peter, & Roth, Volker. (2021). Dynamic Functional Connectivity of EEG: From Identifying Fingerprints to Gender Differences to a General Blueprint for the Brain’s Functional Organization. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.683633

Keller, Sebastian Mathias, Samarin, Maxim, Arend Torres, Fabricio, Wieser, Mario, & Roth, Volker. (2021). Learning Extremal Representations with Deep Archetypal Analysis. International Journal of Computer Vision, 129(4), 805–820. https://doi.org/10.1007/s11263-020-01390-3

Samarin, Maxim, Nesterov, Vitali, Wieser, Mario, Wieczorek, Aleksander, Parbhoo, Sonali, & Roth, Volker. (2021). Learning Conditional Invariance Through Cycle Consistency. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13024 LNCS, 376–391. https://doi.org/10.1007/978-3-030-92659-5_24

Wu, Mike, Parbhoo, Sonali, Hughes, Michael C., Roth, Volker, & Doshi-Velez, Finale. (2021). Optimizing for interpretability in deep neural networks with tree regularization. Journal of Artificial Intelligence Research, 72. https://doi.org/10.1613/jair.1.12558

Zimmermann, Ronan, Fürer, Lukas, Schenk, Nathalie, Koenig, Julian, Roth, Volker, Schlüter-Müller, Susanne, Kaess, Michael, & Schmeck, Klaus. (2021). Silence in the psychotherapy of adolescents with borderline personality pathology. Personality Disorders, 12(2), 160–170. https://doi.org/10.1037/per0000402

Keller, S. M., Gschwandtner, U., Meyer, A., Chaturvedi, M., Fuhr, P., & Roth, V. (2020). FV22 Reduced Tsallis Entropy of EEG in Patients with Parkinsons Disease – A Predictive Marker for Cognitive Decline [Journal-article]. Clinical Neurophysiology, 131(4), e233. https://doi.org/10.1016/j.clinph.2019.12.112

Samarin, M., Nagy-Huber, M., Zweifel, L., Meusburger, K., Alewell, C., & Roth, V. (2020). Visual Understanding in Semantic Segmentation of Soil Erosion Sites in Swiss Alpine Grasslands [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu2020-17346

Zweifel, L., Samarin, M., Meusburger, K., Roth, V., & Alewell, C. (2020). Identification of Soil Erosion in Alpine Grasslands on High-Resolution Aerial Images: Switching from Object-based Image Analysis to Deep Learning? [Posted-content]. Copernicus GmbH. https://doi.org/10.5194/egusphere-egu2020-2328

Keller, Sebastian M., Gschwandtner, Ute, Meyer, Antonia, Chaturvedi, Menorca, Roth, Volker, & Fuhr, Peter. (2020). Cognitive decline in Parkinson’s disease is associated with reduced complexity of EEG at baseline. Brain Communications, 2(2), fcaa207. https://doi.org/10.1093/braincomms/fcaa207

Kozak, Vitalii V., Chaturvedi, Menorca, Gschwandtner, Ute, Hatz, Florian, Meyer, Antonia, Roth, Volker, & Fuhr, Peter. (2020). EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson’s Disease. Frontiers in Aging Neuroscience, 12, 171. https://doi.org/10.3389/fnagi.2020.00171

Nesterov, Vitali, Wieser, Mario, & Roth, Volker. (2020). 3DMolNet: A Generative Network for Molecular Structures. In Arxiv. Cornell University. https://doi.org/10.48550/arxiv.2010.06477

Parbhoo, Sonali, Wieser, Mario, Roth, Volker, & Doshi-Velez, Finale. (2020). Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. In Doshi-Velez, F.; Fackler, J.; Jung, K.; Kale, D.; Ranganath, R.; Wallace, B.; Wiens, J. (Ed.), Proceedings of Machine Learning Research (Vol. 126). PMLR.

Parbhoo, Sonali, Wieser, Mario, Wieczorek, Aleksander, & Roth, Volker. (2020). Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy, 22(4), 389. https://doi.org/10.3390/e22040389

Samarin, Maxim, Zweifel, Lauren, Roth, Volker, & Alewell, Christine. (2020). Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network. Remote Sensing, 12(24), 4149. https://doi.org/10.3390/rs12244149

Thorball, Christian W., Borghesi, Alessandro, Bachmann, Nadine, Von Siebenthal, Chantal, Vongrad, Valentina, Turk, Teja, Neumann, Kathrin, Beerenwinkel, Niko, Bogojeska, Jasmina, Roth, Volker, Kok, Yik Lim, Parbhoo, Sonali, Wieser, Mario, Böni, Jürg, Perreau, Matthieu, Klimkait, Thomas, Yerly, Sabine, Battegay, Manuel, Rauch, Andri, et al. (2020). Host Genomics of the HIV-1 Reservoir Size and Its Decay Rate During Suppressive Antiretroviral Treatment. Journal of Acquired Immune Deficiency Syndromes, 85(4), 517–524. https://doi.org/10.1097/qai.0000000000002473

Wan, Chenjie, Bachmann, Nadine, Mitov, Venelin, Blanquart, François, Céspedes, Susana Posada, Turk, Teja, Neumann, Kathrin, Beerenwinkel, Niko, Bogojeska, Jasmina, Fellay, Jacques, Roth, Volker, Böni, Jürg, Perreau, Matthieu, Klimkait, Thomas, Yerly, Sabine, Battegay, Manuel, Walti, Laura, Calmy, Alexandra, Vernazza, Pietro, et al. (2020). Heritability of the HIV-1 reservoir size and decay under long-term suppressive ART. Nature Communications, 11(1), 5542. https://doi.org/10.1038/s41467-020-19198-7

Wieczorek, Aleksander, & Roth, Volker. (2020). On the Difference between the Information Bottleneck and the Deep Information Bottleneck. Entropy, 22(2), 131. https://doi.org/10.3390/e22020131

Wieser, Mario, Parbhoo, Sonali, Wieczorek, Aleksander, & Roth, Volker. (2020). Inverse Learning of Symmetries (Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H., Ed.). Curran Associates, Inc.

Wieser, Mario, Parbhoo, Sonali, Wieczorek, Aleksander, & Roth, Volker. (2020). Inverse learning of symmetries. Advances in Neural Information Processing Systems, 2020-December.

Wu, Mike, Parbhoo, Sonali, Hughes, Michael C., Kindle, Ryan, Celi, Leo A., Zazzi, Maurizio, Roth, Volker, & Doshi-Velez, Finale. (2020). Regional Tree Regularization for Interpretability in Deep Neural Networks. Proceedings of the ... AAAI Conference on Artificial Intelligence, 34. https://doi.org/10.1609/aaai.v34i04.6112

Wu, Mike, Parbhoo, Sonali, Hughes, Michael C., Kindle, Ryan, Celi, Leo, Zazzi, Maurizio, Roth, Volker, & Doshi-Velez, Finale. (2020). Regional tree regularization for interpretability in deep neural networks. AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, null, 6413–6421.

Thorball, C. W., Borghesi, A., Bachmann, N., von Siebenthal, C., Vongrad, V., Turk, T., Neumann, K., Beerenwinkel, N., Bogojeska, J., Roth, V., Kok, Y. L., Parbhoo, S., Wieser, M., Böni, J., Perreau, M., Klimkait, T., Yerly, S., Battegay, M., Rauch, A., et al. (2019, December 6). Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment [Posted-content]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/19013763

Bachmann, Nadine, von Siebenthal, Chantal, Vongrad, Valentina, Turk, Teja, Neumann, Kathrin, Beerenwinkel, Niko, Bogojeska, Jasmina, Fellay, Jaques, Roth, Volker, Kok, Yik Lim, Thorball, Christian W., Borghesi, Alessandro, Parbhoo, Sonali, Wieser, Mario, Böni, Jürg, Perreau, Matthieu, Klimkait, Thomas, Yerly, Sabine, Battegay, Manuel, et al. (2019). Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-10884-9

Chaturvedi, M., Yilmaz, R., Gschwandtner, U., Greulich, K., Reimold, M., Fuhr, P., Roth, V., Timmers, M., Streffer, J., Berg, D., & Liepelt-Scarfone, I. (2019). FV 4 Electroencephalographic Activity as a potential prodromal marker for Parkinson’s disease [Journal-article]. Clinical Neurophysiology, 130(8), e122–e123. https://doi.org/10.1016/j.clinph.2019.04.614

Chaturvedi, Menorca, Bogaarts, Jan Guy, Kozak Cozac, Vitalii V., Hatz, Florian, Gschwandtner, Ute, Meyer, Antonia, Fuhr, Peter, & Roth, Volker. (2019). Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson’s disease. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, 130(10), 1937–1944. https://doi.org/10.1016/j.clinph.2019.07.017

Keller, Sebastian Mathias, Murezzan, Damian, & Roth, Volker. (2019). Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11269 LNCS, 682–697. https://doi.org/10.1007/978-3-030-12939-2_47

Keller, Sebastian Mathias, Samarin, Maxim, Wieser, Mario, & Roth, Volker. (2019). Deep Archetypal Analysis. In Fink, Gernot A.; Frintrop, Simone; Jiang, Xiaoyi (Ed.), Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-33676-9_12

Kortylewski, Adam, Wieczorek, Aleksander, Wieser, Mario, Blumer, Clemens, Parbhoo, Sonali, Morel-Forster, Andreas, Roth, Volker, & Vetter, Thomas. (2019, January 1). Greedy Structure Learning of Hierarchical Compositional Models. https://doi.org/10.1109/cvpr.2019.01188

Wieczorek, Aleksander, & Roth, Volker. (2019). Information Theoretic Causal Effect Quantification. Entropy, 21(10), 975. https://doi.org/10.3390/e21100975

Bogaarts, J. G., Chaturvedi, M., Cozac, V., Gschwandtner, U., Hardmeier, M., Hatz, F., Meyer, A., Fuhr, P., & Roth, V. (2018). P30. A novel application of the Phase-lag-Index in functional connectivity research [Journal-article]. Clinical Neurophysiology, 129(8), e79. https://doi.org/10.1016/j.clinph.2018.04.671

Chaturvedi, M., Bogaarts, J. G., Hatz, F., Cozac, V., Meyer, A., Gschwandtner, U., Liepelt-Scarfone, I., Babiloni, C., Fuhr, P., & Roth, V. (2018). P78. Can Phase Lag Index (PLI) be beneficial in distinguishing Parkinsons disease Dementia (PDD) patients from Parkinsons disease (PD) patients? [Journal-article]. Clinical Neurophysiology, 129(8), e99. https://doi.org/10.1016/j.clinph.2018.04.710

Cozac, V., Bogaarts, J. G., Chaturvedi, M., Gschwandtner, U., Hatz, F., Meyer, A., Roth, V., & Fuhr, P. (2018). P76. Axial impairment and EEG slowing are independent predictors of cognitive outcome in a three-year cohort of PD patients [Journal-article]. Clinical Neurophysiology, 129(8), e98. https://doi.org/10.1016/j.clinph.2018.04.708

Chaturvedi, M., Bogaarts, J., Hatz, F., Gschwandtner, U., Cozac, V., Meyer, A., Liepelt, I., Babiloni, C., Fuhr, P., & Roth, V. (2018). F67. Distinguishing Parkinson’s Disease Dementia (PDD) patients from Parkinson’s Disease (PD) patients using EEG frequency and connectivity measures [Journal-article]. Clinical Neurophysiology, 129, e92. https://doi.org/10.1016/j.clinph.2018.04.230

Parbhoo, Sonali, Gottesman, Omer, Ross, Andrew Slavin, Komorowski, Matthieu, Faisal, Aldo, Bon, Isabella, Roth, Volker, & Doshi-Velez, Finale. (2018). Improving counterfactual reasoning with kernelised dynamic mixing models. PloS One, 13(11), e0205839. https://doi.org/10.1371/journal.pone.0205839

Parbhoo, Sonali, Wieser, Mario, Wieczorek, Aleksander, & Roth, Volker. (2018). Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates. Entropy.

Wieczorek, Aleksander, Wieser, Mario, Murezzan, Damian, & Roth, Volker. (2018). Learning sparse latent representations with the deep copula information bottleneck. 6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings, null.

Wieser, Mario, Wieczorek, Aleksander, Murezzan, Damian, & Roth, Volker. (2018, January 1). Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. https://openreview.net/forum?id=Hk0wHx-RW

Wu, Mike, Hughes, Michael C., Parbhoo, Sonali, Zazzi, Maurizio, Roth, Volker, & Doshi-Velez, Finale. (2018, January 1). Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16285

Wu, Mike, Hughes, Michael C., Parbhoo, Sonali, Zazzi, Maurizio, Roth, Volker, & Doshi-Velez, Finale. (2018). Beyond sparsity: Tree regularization of deep models for interpretability. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, null, 1670–1678.

Chaturvedi, M., Hatz, F., Gschwandtner, U., Meyer, A., Cozac, V. V., Bogaarts, J. G., Roth, V., & Fuhr, P. (2017). P 129 Quantitative EEG and neuropsychological tests to differentiate between Parkinson’s disease patients and healthy controls with Random Forest algorithm [Journal-article]. Clinical Neurophysiology, 128(10), e391–e392. https://doi.org/10.1016/j.clinph.2017.06.202

Chaturvedi, M., Hatz, F., Gschwandtner, U., Bogaarts, J. G., Meyer, A., Fuhr, P., & Roth., V. (2017). Quantitative EEG (QEEG) Measures Differentiate Parkinson`s Disease Patients from Healthy Controls. Frontiers in Aging Neuroscience, 9(3), 3. https://doi.org/10.3389/fnagi.2017.00003

Egger, Bernhard, Kaufmann, Dinu, Schönborn, Sandro, Roth, Volker, & Vetter, Thomas. (2017). Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model. Communications in Computer and Information Science, 693, 95–112. https://doi.org/10.1007/978-3-319-64870-5_5

Parbhoo, Sonali, Bogojeska, Jasmina, Zazzi, Maurizio, Roth, Volker, & Doshi-Velez, Finale. (2017). Combining Kernel and Model Based Learning for HIV Therapy Selection. Amia Summits on Translational Science Proceedings, 2017, 239–248. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543338/

Roth, Volker, & Vetter, Thomas. (2017). Preface. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10496 LNCS.

Chaturvedi, M., Hatz, F., Meyer, A., Cozac, V., Gschwandtner, U., Roth, V., & Fuhr, P. (2016). Can Quantitative EEG (QEEG) differentiate patients with Parkinson’s disease (PD) from healthy controls? [Journal-article]. Parkinsonism & Related Disorders, 22, e163. https://doi.org/10.1016/j.parkreldis.2015.10.388

Dazert, E., Colombi, M., Boldanova, T., Moes, S., Adametz, D., Quagliata, L., Roth, V., Terracciano, L., Heim, M. H., Jenoe, P., & Hall, M. N. (2016). Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient. Proceedings of the National Academy of Sciences of the United States of America, 113(5), 1381–1386. https://doi.org/10.1073/pnas.1523434113

Egger, Bernhard, Kaufmann, Dinu, Schönborn, Sandro, Roth, Volker, & Vetter, Thomas. (2016). Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling. 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) , 1, 50–58. https://doi.org/10.5220/0005718800480056

Kaufmann, Dinu, Parbhoo, Sonali, Wieczorek, Aleksander, Keller, Sebastian, Adametz, David, & Roth, Volker. (2016). Bayesian Markov Blanket Estimation. Proceedings of Machine Learning Research, 51. http://jmlr.org/proceedings/papers/v51/kaufmann16.html

Kaufmann, Dinu, Parbhoo, Sonali, Wieczorek, Aleksander, Keller, Sebastian, Adametz, David, & Roth, Volker. (2016). Bayesian markov blanket estimation. null, 333–341.

Makowska, Zuzanna, Boldanova, Tujana, Adametz, David, Quagliata, Luca, Quagliata, Luca, Vogt, Julia E., Dill, Michael T., Matter, Mathias S., Roth, Volker, Terracciano, Luigi, & Heim, Markus H. (2016). Gene expression analysis of biopsy samples reveals critical limitations of transcriptome-based molecular classifications of hepatocellular carcinoma. The Journal of Pathology : Clinical Research, 2(2), 80–92. https://doi.org/10.1002/cjp2.37

Kaufmann, Dinu, Keller, Sebastian, & Roth, Volker. (2015). Copula Archetypal Analysis. In Gall, Juergen; Gehler, Peter; Leibe, Bastian (ed.), Pattern Recognition (pp. 117–128). Springer. https://doi.org/10.1007/978-3-319-24947-6_10

Makowska, Z., Boldanova, T., Adametz, D., Quagliata, L., Vogt, J. E., Dill, M. T., Matter, M. S., Roth, V., Terracciano, L., & Heim, M. H. (2015). P0309 : Gene expression profiling of hepatocellular carcinoma biopsies reveals three molecular classes with distinct clinical and biological properties [Journal-article]. Journal of Hepatology, 62, S424–S425. https://doi.org/10.1016/s0168-8278(15)30524-9

Adametz, David, & Roth, Volker. (2015). Distance-based network recovery under feature correlation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9370, 209–210.

Alewell, Christine, Meusburger, Katrin, Kandl, Daniela, Fetai, Ilir, Roth, Volker, Rugolo, Valentino, Schuldt, Heiko, & Vetter, Thomas. (2015). COSA - AlpErosion: Monitoring the degradation of Alpine soils with COSA, a Citizens’ Observatory Smartphone App (Patent No. 36). 36, Article 36. Bulletin der Bodenkundlichen Gesellschaft der Schweiz.

Vogt, Julia E., Kloft, Marius, Stark, Stefan, Raman, Sudhir S., Prabhakaran, Sandhya, Roth, Volker, & Raetsch, Gunnar. (2015). Probabilistic clustering of time-evolving distance data. Machine Learning, 100(2-3), 635–654. https://doi.org/10.1007/s10994-015-5516-x

Adametz, David, Rey, Melanie, & Roth, Volker. (2014). Information Bottleneck for Pathway-Centric Gene Expression Analysis. In Jiang, X; Hornegger, J; Koch, R (Ed.), Pattern recognition: 36th German Conference (p. S. 81–91). Springer International Publishing. https://doi.org/10.1007/978-3-319-11752-2_7

Adametz, David, & Roth, Volker. (2014). Distance-based network recovery under feature correlation. In Z. Ghahramani and M. Welling and C. Cortes and N.D. Lawrence and K.Q. Weinberger (Ed.), Advances in neural information processing systems (Vol. 27, p. S. 775–783). MIT-Press. http://papers.nips.cc/paper/5470-distance-based-network-recovery-under-feature-correlation.pdf

Bousleiman, H., Ahmed, S., Hardmeier, M., Hatz, F., Schindler, C., Roth, V., Zimmermann, R., Gschwandtner, U., & Fuhr, P. (2014). Quantitative EEG (qEEG) as Marker for Mild Cognitive Impairment (MCI) in Patients with Parkinson’s Disease (PD) (P5.059) [Journal-article]. Neurology, 82(10_supplement). https://doi.org/10.1212/wnl.82.10_supplement.p5.059

Bousleiman, Habib, Zimmermann, Ronan, Ahmed, Shaheen, Hardmeier, Martin, Hatz, Florian, Schindler, Christian, Roth, Volker, Gschwandtner, Ute, & Fuhr, Peter. (2014). Power spectra for screening parkinsonian patients for mild cognitive impairment. Annals of Clinical and Translational Neurology, 1(11), 90–884. https://doi.org/10.1002/acn3.129

Dill, Michael T., Makowska, Zuzanna, Trincucci, Gaia, Gruber, Andreas J., Vogt, Julia E., Filipowicz, Magdalena, Calabrese, Diego, Krol, Ilona, Lau, Daryl T., Terracciano, Luigi, van Nimwegen, Erik, Roth, Volker, & Heim, Markus H. (2014). Pegylated IFN-α regulates hepatic gene expression through transient Jak/STAT activation. Journal of Clinical Investigation, 124(4), 81–1568. https://doi.org/10.1172/jci70408

Dill, M.T., Makowska, Z., Trincucci, G., Gruber, A.J., Vogt, J.E., Filipowicz, M., Calabrese, D., Krol, I., Lau, D.T., Terracciano, L., van Nimwegen, E., Roth, V., & Heim, M.H. (2014). O47 PEGYLATED INTERFERON-ALPHA INDUCES SUSTAINED TRANSCRIPTIONAL RESPONSE IN LIVER INFILTRATING IMMUNE CELLS BUT NOT IN HEPATOCYTES IN THE LIVER OF PATIENTS WITH CHRONIC HEPATITIS C. Journal of Hepatology, 60, S1–S22. https://doi.org/10.1016/s0168-8278(14)60049-0

Giallonardo, Francesca Di, Töpfer, Armin, Rey, Melanie, Prabhakaran, Sandhya, Duport, Yannick, Leemann, Christine, Schmutz, Stefan, Campbell, Nottania K., Joos, Beda, Lecca, Maria Rita, Patrignani, Andrea, Däumer, Martin, Beisel, Christian, Rusert, Peter, Trkola, Alexandra, Günthard, Huldrych F., Roth, Volker, Beerenwinkel, Niko, & Metzner, Karin J. (2014). Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations. Nucleic Acids Research, 42(14), e115. https://doi.org/10.1093/nar/gku537

Prabhakaran, Sandhya, Rey, Melanie, Zagordi, Osvaldo, Beerenwinkel, Niko, & Roth, Volker. (2014). HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1), 182–191. https://doi.org/ea017b9f-ec09-4077-85ab-ded3af538c48

Prabhakaran, Sandhya, Rey, Melanie, Zagordi, Osvaldo, Beerenwinkel, Niko, & Roth, Volker. (2014). HIV haplotype inference using a propagating dirichlet process mixture model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(1), 182–191. https://doi.org/10.1109/TCBB.2013.145

Rey, Melani, Roth, Volker, & Fuchs, Thomas. (2014). Sparse meta-Gaussian information bottleneck (Jebara,Tony;Xing,Eric P., Ed.). Curran. http://jmlr.org/proceedings/papers/v32/rey14.pdf

Prabhakaran, Sandhya, Adametz, David, Metzner, Karin J., Boehm, Alexander, & Roth, Volker. (2013). Recovering networks from distance data. Machine Learning, 92(2-3), 251–283. https://doi.org/10.1007/s10994-013-5370-7

Rey, Melanie Rey, & Roth, Volker. (2013). Meta-Gaussian information bottleneck (Bartlett,P; Pereira,F.C.N.;Burges,C.J.C.,Bottou,L.; Weinberger,K.Q.}, Ed.; Vol. 25). The MIT Press.

Roth, V., Fuchs, T. J., Vogt, J. E., Prabhakaran, S., & Buhmann, J. M. (2013). Structure Preserving Embedding of Dissimilarity Data (pp. 157–177). Springer London. https://doi.org/10.1007/978-1-4471-5628-4_7

Töpfer, Armin, Zagordi, Osvaldo, Prabhakaran, Sandhya, Roth, Volker, Halperin, Eran, & Beerenwinkel, Niko. (2013). Probabilistic inference of viral quasispecies subject to recombination. Journal of Computational Biology, 20(2), 23–113. https://doi.org/10.1089/cmb.2012.0232

Wigger, Leonore, Vogt, Julia E, & Roth, Volker. (2013). Malaria haplotype frequency estimation. Statistics in Medicine, 32(21), 51–3737. https://doi.org/10.1002/sim.5792

Prabhakaran, Sandhya, Metzner, Karin J., Böhm, Alexander, & Roth, Volker. (2012). Recovering networks from distance data. Journal of Machine Learning Research, 25, 349–364.

Rey, Mélanie, & Roth, Volker. (2012). Meta-Gaussian information bottleneck. Advances in Neural Information Processing Systems, 3, 1916–1924.

Rey, Mélanie, & Roth, Volker. (2012). Copula mixture model for dependency-seeking clustering. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 1, 927–934.

Vogt, Julia E., & Roth, Volker. (2012). A complete analysis of the ℓ 1,p Group-Lasso. Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 1, 185–192.

Makowska, Z., Dill, M. T., Vogt, J. E., Filipowicz, M., Terraciano, L., Roth, V., & Heim, M. H. (2012). P139 Continuous exposure to PEG-IFN-Alpha only transiently activates JAK-stat signalling in human liver [Journal-article]. Cytokine, 59(3), 563–564. https://doi.org/10.1016/j.cyto.2012.06.231

Beerenwinkel, Niko, Günthard, Huldrych F, Roth, Volker, & Metzner, Karin J. (2012). Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data. Frontiers in Microbiology, 3(00329), 329. https://doi.org/10.3389/fmicb.2012.00329

Melanie, Rey, & Roth, Volker. (2012). Copula mixture model for eependency-seeking clustering. 8 S. http://icml.cc/2012/papers/486.pdf

Meyer, Stefanie, Fuchs, Thomas J., Bosserhoff, Anja K., Hofstädter, Ferdinand, Pauer, Armin, Roth, Volker, Buhmann, Joachim M., Moll, Ingrid, Anagnostou, Nikos, Brandner, Johanna M., Ikenberg, Kristian, Moch, Holger, Landthaler, Michael, Vogt, Thomas, & Wild, Peter J. (2012). A seven-marker signature and clinical outcome in malignant melanoma : a large-scale tissue-microarray study with two independent patient cohorts. PLoS ONE, 7(6). https://doi.org/10.1371/journal.pone.0038222

Prabhakaran, Sandhya, Metzner, Karin J., Boehm, Alexander, & Roth, Volker. (2012). Recovering Networks from Distance Data. Journal of Machine Learning Research, 25, 349–364.

Prabhakaran, Sandhya, Raman, Sudhir, Vogt, Julia E., & Roth, Volker. (2012). Automatic model selection in archetype analysis. In Pinz, Axel; Pock, Thomas; Bischof, Horst; Leberl, Franz (Ed.), Lecture notes in computer science. Springer. https://doi.org/10.1007/978-3-642-32717-9_46