IST 发表于 2025-3-28 16:40:19

Probabilistic Circuits with Constraints via Convex Optimizationachine learning fairness measures into the model without compromising model fitness. We believe that these ideas will open possibilities for multiple other applications involving the combination of logics and deep probabilistic models.

EXPEL 发表于 2025-3-28 19:26:55

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一窝小鸟 发表于 2025-3-29 00:22:43

Hyperbolic Delaunay Geometric Alignments across the given sets. We provide an empirical investigation on synthetic and real-life biological data and demonstrate that HyperDGA outperforms the hyperbolic version of classical distances between sets. Furthermore, we showcase the potential of HyperDGA for evaluating latent representations inferred by a Hyperbolic Variational Auto-Encoder.

Throttle 发表于 2025-3-29 03:34:12

Conference proceedings 2024scovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024... ..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:. The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 su

Narcissist 发表于 2025-3-29 08:55:41

0302-9743 owledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024... ..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:. The 202 full papers presented here, from this track, were carefully reviewed and selected f

效果 发表于 2025-3-29 11:25:01

https://doi.org/10.1007/978-3-031-70352-2artificial intelligence; computer security; computer systems; computer vision; computational modelling; d

Insensate 发表于 2025-3-29 17:19:54

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620542.jpg

Invigorate 发表于 2025-3-29 22:30:59

978-3-031-70351-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

灾难 发表于 2025-3-30 02:17:19

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conference 发表于 2025-3-30 05:08:20

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查看完整版本: Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indrė Žliobaitė Confer