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Fortuin, Vincent
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1

Priors in Bayesian Deep Learning: A Review:

Fortuin, Vincent
International Statistical Review.  90 (2022)  3 - p. 563-591 , 2022
Link: https://doi.org/10.1111/..
 
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2

BNNpriors: A library for Bayesian neural network inference ..:

Fortuin, Vincent ; Garriga-Alonso, Adrià ; van der Wilk, Mark.
Software Impacts.  9 (2021)  - p. 100079 , 2021
Link: https://doi.org/10.1016/..
 
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3

Sparse Gaussian Processes on Discrete Domains:

Fortuin, Vincent ; Dresdner, Gideon ; Strathmann, Heiko.
IEEE Access.  9 (2021)  - p. 76750-76758 , 2021
Link: https://doi.org/10.1109/..
 
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4

MGP-AttTCN: An interpretable machine learning model for the..:

Rosnati, Margherita ; Fortuin, Vincent ; Olier, Ivan
PLOS ONE.  16 (2021)  5 - p. e0251248 , 2021
Link: https://doi.org/10.1371/..
 
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5

Mixture-of-Experts Variational Autoencoder for clustering a..:

Kopf, Andreas ; Fortuin, Vincent ; Somnath, Vignesh Ram..
PLOS Computational Biology.  17 (2021)  6 - p. e1009086 , 2021
Link: https://doi.org/10.1371/..
 
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6

T-DPSOM : an interpretable clustering method for unsuper..:

, In: Proceedings of the Conference on Health, Inference, and Learning,
Manduchi, Laura ; Hüser, Matthias ; Faltys, Martin... - p. 236-245 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Position Paper: Bayesian Deep Learning in the Age of Large-..:

Papamarkou, Theodore ; Skoularidou, Maria ; Palla, Konstantina...
http://arxiv.org/abs/2402.00809.  , 2024
Link: http://arxiv.org/abs/240..
 
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8

Improving Neural Additive Models with Bayesian Principles:

Bouchiat, Kouroche ; Immer, Alexander ; Yèche, Hugo..
http://arxiv.org/abs/2305.16905.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Uncertainty in Graph Contrastive Learning with Bayesian Neu..:

Möllers, Alexander ; Immer, Alexander ; Isufi, Elvin.
http://arxiv.org/abs/2312.00232.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Hodge-Aware Contrastive Learning:

Möllers, Alexander ; Immer, Alexander ; Fortuin, Vincent.
http://arxiv.org/abs/2309.07364.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Incorporating Unlabelled Data into Bayesian Neural Networks:

Sharma, Mrinank ; Rainforth, Tom ; Teh, Yee Whye.
http://arxiv.org/abs/2304.01762.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Understanding Pathologies of Deep Heteroskedastic Regressio:

Wong-Toi, Eliot ; Boyd, Alex ; Fortuin, Vincent.
http://arxiv.org/abs/2306.16717.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Estimating optimal PAC-Bayes bounds with Hamiltonian Monte ..:

Ujváry, Szilvia ; Flamich, Gergely ; Fortuin, Vincent.
http://arxiv.org/abs/2310.20053.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Promises and Pitfalls of the Linearized Laplace in Bayesian..:

Kristiadi, Agustinus ; Immer, Alexander ; Eschenhagen, Runa.
http://arxiv.org/abs/2304.08309.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Challenges and Perspectives in Deep Generative Modeling (Da..:

Fortuin, Vincent ; Li, Yingzhen ; Murphy, Kevin..
doi:10.4230/DagRep.13.2.47.  , 2023
Link: https://doi.org/10.4230/..
 
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