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Haussmann, Manuel
39  Ergebnisse:
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1

A comparative study of clinical trial and real-world data i..:

Kurki, Samu ; Halla-aho, Viivi ; Haussmann, Manuel...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Understanding Event-Generation Networks via Uncertainties:

Bellagente, Marco ; Haussmann, Manuel ; Luchmann, Michel.
SciPost Physics.  13 (2022)  1 - p. , 2022
Link: https://doi.org/10.21468..
 
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3

Deep-learning jets with uncertainties and more:

Bollweg, Sven ; Haussmann, Manuel ; Kasieczka, Gregor...
SciPost Physics.  8 (2020)  1 - p. , 2020
Link: https://doi.org/10.21468..
 
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4

Variational Bayesian Multiple Instance Learning with Gaussi..:

, In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Haussmann, Manuel ; Hamprecht, Fred A. ; Kandemir, Melih - p. 810-819 , 2017
Link: https://doi.org/10.1109/..
 
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5

Estimating treatment effects from single-arm trials via lat..:

Haussmann, Manuel ; Le, Tran Minh Son ; Halla-aho, Viivi...
http://arxiv.org/abs/2311.03002.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

Practical Equivariances via Relational Conditional Neural P..:

Huang, Daolang ; Haussmann, Manuel ; Remes, Ulpu...
http://arxiv.org/abs/2306.10915.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Understanding Event-Generation Networks via Uncertainties:

Bellagente, Marco ; Haußmann, Manuel ; Luchmann, Michel.
http://arxiv.org/abs/2104.04543.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

Evidential Turing Processes:

Kandemir, Melih ; Akgül, Abdullah ; Haussmann, Manuel.
http://arxiv.org/abs/2106.01216.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

Bayesian Neural Networks for Probabilistic Machine Learning:

Haußmann, Manuel
https://archiv.ub.uni-heidelberg.de/volltextserver/30364/1/diss_pdfaversion.pdf.  , 2021
Link: https://archiv.ub.uni-he..
 
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10

Learning Partially Known Stochastic Dynamics with Empirical..:

Haussmann, Manuel ; Gerwinn, Sebastian ; Look, Andreas..
http://arxiv.org/abs/2006.09914.  , 2020
Link: http://arxiv.org/abs/200..
 
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11

Deep-Learning Jets with Uncertainties and More:

Bollweg, Sven ; Haussmann, Manuel ; Kasieczka, Gregor...
http://arxiv.org/abs/1904.10004.  , 2019
Link: http://arxiv.org/abs/190..
 
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12

Deep Active Learning with Adaptive Acquisition:

Haussmann, Manuel ; Hamprecht, Fred A ; Kandemir, Melih
http://arxiv.org/abs/1906.11471.  , 2019
Link: http://arxiv.org/abs/190..
 
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13

Bayesian Evidential Deep Learning with PAC Regularization:

Haussmann, Manuel ; Gerwinn, Sebastian ; Kandemir, Melih
http://arxiv.org/abs/1906.00816.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

LeMoNADe: Learned Motif and Neuronal Assembly Detection in ..:

Kirschbaum, Elke ; Haußmann, Manuel ; Wolf, Steffen...
http://arxiv.org/abs/1806.09963.  , 2018
Link: http://arxiv.org/abs/180..
 
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15

Sampling-Free Variational Inference of Bayesian Neural Netw..:

Haussmann, Manuel ; Hamprecht, Fred A ; Kandemir, Melih
http://arxiv.org/abs/1805.07654.  , 2018
Link: http://arxiv.org/abs/180..
 
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