E-LIB Suche - Ergebnisse für: Immer, Alexander

1

Probabilistic pathway-based multimodal factor analysis:

Immer, Alexander ; Stark, Stefan G ; Jacob, Francis...
Bioinformatics. 40 (2024) Supplement_1 - p. i189-i198 , 2024

Link: https://doi.org/10.1093/..

2

Sub-Matrix Factorization for Real-Time Vote Prediction:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Immer, Alexander ; Kristof, Victor ; Grossglauser, Matthias. - p. 2280-2290 , 2020

Link: https://dl.acm.org/doi/1..

3

Optimizing Routes of Public Transportation Systems by Analy..:

, In: Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics,

Richly, Keven ; Teusner, Ralf ; Immer, Alexander.. - p. 70-76 , 2015

Link: https://dl.acm.org/doi/1..

4

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..

5

Kronecker-Factored Approximate Curvature for Modern Neural ..:

Eschenhagen, Runa ; Immer, Alexander ; id_orcid:0 000-0003-4320-986X...
http://hdl.handle.net/20.500.11850/656652. , 2023

Link: https://hdl.handle.net/2..

6

Kronecker-Factored Approximate Curvature for Modern Neural ..:

Eschenhagen, Runa ; Immer, Alexander ; Turner, Richard E..
http://arxiv.org/abs/2311.00636. , 2023

Link: http://arxiv.org/abs/231..

7

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..

8

Detection of isoforms and genomic alterations by high-throu..:

Dondi, Arthur ; Lischetti, Ulrike ; Jacob, Francis...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-023-43387-9. , 2023

Link: https://hdl.handle.net/2..

9

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..

10

Hodge-Aware Contrastive Learning:

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

Link: http://arxiv.org/abs/230..

11

Stochastic Marginal Likelihood Gradients using Neural Tange..:

Immer, Alexander ; van der Ouderaa, Tycho F. A ; van der Wilk, Mark..
http://arxiv.org/abs/2306.03968. , 2023

Link: http://arxiv.org/abs/230..

12

Towards Training Without Depth Limits: Batch Normalization ..:

Meterez, Alexandru ; Joudaki, Amir ; Orabona, Francesco...
http://arxiv.org/abs/2310.02012. , 2023

Link: http://arxiv.org/abs/231..

13

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..

14

Towards Training Without Depth Limits: Batch Normalization ..:

Meterez, Alexandru ; Joudaki, Amir ; Orabona, Francesco...
info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2310.02012. , 2023

Link: https://hdl.handle.net/2..

15

Learning Layer-wise Equivariances Automatically using Gradi..:

van der Ouderaa, Tycho F. A ; Immer, Alexander ; van der Wilk, Mark
http://arxiv.org/abs/2310.06131. , 2023

Link: http://arxiv.org/abs/231..