Laura Manduchi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Unsupervised Learning

Constrained Clustering

Diffusion Models

Top Venues

Publications

Moritz Vandenhirtz, Florian Barkmann, Laura Manduchi, Julia E. Vogt, Valentina Boeva
scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data. CoRR (2024)
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models. CoRR (2024)
Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
On the Challenges and Opportunities in Generative AI. CoRR (2024)
Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms. Int. J. Comput. Vis. 132 (7) (2024)
Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E. Vogt
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders. ICLR (2024)
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
Tree Variational Autoencoders. NeurIPS (2023)
Fabian Laumer, Mounir Amrani, Laura Manduchi, Ami Beuret, Lena Rubi, Alina Dubatovka, Christian M. Matter, Joachim M. Buhmann
Weakly supervised inference of personalized heart meshes based on echocardiography videos. Medical Image Anal. 83 (2023)
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
Tree Variational Autoencoders. CoRR (2023)
Vincent Fortuin, Yingzhen Li, Kevin Murphy, Stephan Mandt, Laura Manduchi
Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072). Dagstuhl Reports 13 (2) (2023)
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
Learning Group Importance using the Differentiable Hypergeometric Distribution. ICLR (2023)
Moritz Vandenhirtz, Laura Manduchi, Ricards Marcinkevics, Julia E. Vogt
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss. CoRR (2023)
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms. CoRR (2022)
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms. GCPR (2022)
Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Thomas J. Weikert, Alexander Sauter, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Bram Stieltjes, Julia E. Vogt
A Deep Variational Approach to Clustering Survival Data. ICLR (2022)
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution. CoRR (2022)
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. CoRR (2022)
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models. MLHC (2022)
Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Julia E. Vogt
A Deep Variational Approach to Clustering Survival Data. CoRR (2021)
Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states. CHIL (2021)
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
Deep Conditional Gaussian Mixture Model for Constrained Clustering. NeurIPS (2021)
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
Deep Conditional Gaussian Mixture Model for Constrained Clustering. CoRR (2021)
Fabian Laumer, Gabriel Fringeli, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann
DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds. ML4H@NeurIPS (2020)
Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps. CoRR (2019)