Laura Manduchi

28 papers A* 5Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Evict from Key-Value Cache.
CoRR
Luca Moschella, Laura Manduchi, Ozan Sener
2025 J jnl
On the Challenges and Opportunities in Generative AI.
Trans. Mach. Learn. Res.
Laura Manduchi, Clara Meister, 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
2025 — conf
TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion.
ECML/PKDD (1)
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 A* conf
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders.
ICLR
Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E. Vogt
2024 J jnl
Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
Int. J. Comput. Vis.
Hanna Ragnarsdóttir, Ece Ozkan, Holger Michel, Kieran Chin-Cheong, Laura Manduchi, Sven Wellmann, Julia E. Vogt
2024 J jnl
Hierarchical Clustering for Conditional Diffusion in Image Generation.
CoRR
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers.
CoRR
Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen
2024 J jnl
On the Challenges and Opportunities in Generative AI.
CoRR
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
2024 J jnl
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models.
CoRR
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data.
CoRR
Moritz Vandenhirtz, Florian Barkmann, Laura Manduchi, Julia E. Vogt, Valentina Boeva
2023 J jnl
Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072).
Dagstuhl Reports
Vincent Fortuin, Yingzhen Li, Kevin Murphy, Stephan Mandt, Laura Manduchi
2023 A* conf
Learning Group Importance using the Differentiable Hypergeometric Distribution.
ICLR
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
2023 J jnl
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss.
CoRR
Moritz Vandenhirtz, Laura Manduchi, Ricards Marcinkevics, Julia E. Vogt
2023 A* conf
Tree Variational Autoencoders.
NeurIPS
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
2023 J jnl
Tree Variational Autoencoders.
CoRR
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
2023 J jnl
Weakly supervised inference of personalized heart meshes based on echocardiography videos.
Medical Image Anal.
Fabian Laumer, Mounir Amrani, Laura Manduchi, Ami Beuret, Lena Rubi, Alina Dubatovka, Christian M. Matter, Joachim M. Buhmann
2022 A* conf
A Deep Variational Approach to Clustering Survival Data.
ICLR
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
2022 — conf
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
MLHC
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2022 J jnl
Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution.
CoRR
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E. Vogt
2022 J jnl
Interpretable Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models.
CoRR
Alain Ryser, Laura Manduchi, Fabian Laumer, Holger Michel, Sven Wellmann, Julia E. Vogt
2022 — conf
Interpretable Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms.
GCPR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2022 J jnl
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms.
CoRR
Hanna Ragnarsdóttir, Laura Manduchi, Holger Michel, Fabian Laumer, Sven Wellmann, Ece Ozkan, Julia E. Vogt
2021 J jnl
A Deep Variational Approach to Clustering Survival Data.
CoRR
Laura Manduchi, Ricards Marcinkevics, Michela Carlotta Massi, Verena Gotta, Timothy Müller, Flavio Vasella, Marian C. Neidert, Marc Pfister, Julia E. Vogt
2021 A* conf
Deep Conditional Gaussian Mixture Model for Constrained Clustering.
NeurIPS
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
2021 J jnl
Deep Conditional Gaussian Mixture Model for Constrained Clustering.
CoRR
Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia E. Vogt
2021 — conf
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states.
CHIL
Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin
2020 — conf
DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds.
ML4H@NeurIPS
Fabian Laumer, Gabriel Fringeli, Alina Dubatovka, Laura Manduchi, Joachim M. Buhmann
2019 J jnl
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps.
CoRR
Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin