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Dürr, Oliver
73  Ergebnisse:
OpenAccess-Volltexte X
Personensuche X
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1

Bayesian Semi-structured Subspace Inference:

Dold, Daniel ; Rügamer, David ; Sick, Beate.
http://arxiv.org/abs/2401.12950.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Estimating Conditional Distributions with Neural Networks u..:

Kook, Lucas ; Baumann, Philipp F. M ; Dürr, Oliver..
https://opus.htwg-konstanz.de/frontdoor/index/index/docId/4873.  , 2023
Link: https://opus.htwg-konsta..
 
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3

Assessing deep learning: a work program for the humanities ..:

Segessenmann, Jan ; Stadelmann, Thilo ; Davison, Andrew.
https://www.repository.cam.ac.uk/handle/1810/362576.  , 2023
Link: https://www.repository.c..
 
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4

Bayesian Calibration of MEMS Accelerometers:

Dürr, Oliver ; Fan, Po-Yu ; Yin, Zong-Xian
http://arxiv.org/abs/2306.06144.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Single-shot Bayesian approximation for neural networks:

Brach, Kai ; Sick, Beate ; Dürr, Oliver
http://arxiv.org/abs/2308.12785.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Assessing deep learning : a work program for the humanities..:

Segessenmann, Jan ; Stadelmann, Thilo ; Davison, Andrew.
https://doi.org/10.1007/s43681-023-00408-z.  , 2023
Link: https://hdl.handle.net/1..
 
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7

Bernstein Flows for Flexible Posteriors in Variational Baye:

Dürr, Oliver ; Hörling, Stephan ; Dold, Daniel..
http://arxiv.org/abs/2202.05650.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Estimating Conditional Distributions with Neural Networks u..:

Kook, Lucas ; Baumann, Philipp FM ; Dürr, Oliver..
http://arxiv.org/abs/2211.13665.  , 2022
Link: http://arxiv.org/abs/221..
 
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9

Deep transformation models for functional outcome predictio..:

Herzog, Lisa ; Kook, Lucas ; Götschi, Andrea...
http://arxiv.org/abs/2206.13302.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Deep transformation models for functional outcome predictio..:

Herzog, Lisa ; Kook, Lucas ; Götschi, Andrea...
https://doi.org/10.1002/bimj.202100379.  , 2022
Link: https://hdl.handle.net/1..
 
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11

Short-Term Density Forecasting of Low-Voltage Load using Be..:

Arpogaus, Marcel ; Voss, Marcus ; Sick, Beate..
http://arxiv.org/abs/2204.13939.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Transformation Models for Flexible Posteriors in Variationa..:

Hörtling, Sefan ; Dold, Daniel ; Dürr, Oliver.
http://arxiv.org/abs/2106.00528.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Probabilistic Short-Term Low-Voltage Load Forecasting using..:

Arpogaus, Marcel ; Voß, Marcus ; Sick, Beate..
https://opus.htwg-konstanz.de/frontdoor/index/index/docId/2925.  , 2021
Link: https://opus.htwg-konsta..
 
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14

Single Shot MC Dropout Approximation:

Brach, Kai ; Sick, Beate ; Dürr, Oliver
http://arxiv.org/abs/2007.03293.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Deep transformation models: Tackling complex regression pro..:

Sick, Beate ; Hothorn, Torsten ; Dürr, Oliver
http://arxiv.org/abs/2004.00464.  , 2020
Link: http://arxiv.org/abs/200..
 
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