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ORCIDFrancesco Paolo Casale
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2020 – today
- 2024
[c4]Jan P. Engelmann
, Alessandro Palma, Jakub M. Tomczak, Fabian J. Theis, Francesco Paolo Casale:
Mixed Models with Multiple Instance Learning. AISTATS 2024: 3664-3672- [c3]Ludwig Gräf, Daniel Sens, Liubov Shilova, Francesco Paolo Casale:
Disease Risk Predictions with Differentiable Mendelian Randomization. RECOMB 2024: 385-389 - [i5]Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico:
Random Walk Diffusion for Efficient Large-Scale Graph Generation. CoRR abs/2408.04461 (2024) - 2023
- [c2]Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification. ISBI 2023: 1-5 - [i4]Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification. CoRR abs/2303.01377 (2023) - [i3]Jan P. Engelmann, Alessandro Palma, Jakub M. Tomczak, Fabian J. Theis, Francesco Paolo Casale:
Attention-based Multi-instance Mixed Models. CoRR abs/2311.02455 (2023)
2010 – 2019
- 2019
- [i2]Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi:
Probabilistic Neural Architecture Search. CoRR abs/1902.05116 (2019) - 2018
- [c1]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. NeurIPS 2018: 10390-10401 - [i1]Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi:
Gaussian Process Prior Variational Autoencoders. CoRR abs/1810.11738 (2018)
Coauthor Index
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