nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing
|
Jin, Yue |
|
|
114 |
8 |
|
artikel |
2 |
All-time safety and sample-efficient meta update for online safe meta reinforcement learning under Markov task transition
|
Yuan, Zhenyuan |
|
|
114 |
8 |
|
artikel |
3 |
Analyzing the effect of residual connections to oversmoothing in graph neural networks
|
Kelesis, Dimitrios |
|
|
114 |
8 |
|
artikel |
4 |
Breaking domain barriers: mixture of experts for cross-domain fake news detection
|
Liguori, Angelica |
|
|
114 |
8 |
|
artikel |
5 |
Community detection via structured adaptive block-diagonal learning with topology-subspace fusion
|
Wu, Ling |
|
|
114 |
8 |
|
artikel |
6 |
Computing the distance between unbalanced distributions: the flat metric
|
Schmidt, Henri |
|
|
114 |
8 |
|
artikel |
7 |
Construction of the Kolmogorov-Arnold networks using the Newton-Kaczmarz method
|
Poluektov, Michael |
|
|
114 |
8 |
|
artikel |
8 |
Deep latent force models: ODE-based process convolutions for Bayesian deep learning
|
Baldwin-McDonald, Thomas |
|
|
114 |
8 |
|
artikel |
9 |
Efficient and interpretable raw audio classification with diagonal state space models
|
Bittner, Matthias |
|
|
114 |
8 |
|
artikel |
10 |
Entangle-then-disentangle: a novel approach for enhancing large vision-language model
|
Yuan, Jiajun |
|
|
114 |
8 |
|
artikel |
11 |
Federated causal inference from observational data
|
Vo, Thanh Vinh |
|
|
114 |
8 |
|
artikel |
12 |
HE-GAD: a behavior-enhanced contrastive learning framework for graph anomaly detection
|
Zheng, Ling |
|
|
114 |
8 |
|
artikel |
13 |
HFIA: a parasitic feature inference attack and gradient-based defense strategy in SplitNN-based vertical federated learning
|
Dong, Qixuan |
|
|
114 |
8 |
|
artikel |
14 |
Improving graph neural networks through feature importance learning
|
Alkhoury, Fouad |
|
|
114 |
8 |
|
artikel |
15 |
JANET: Joint Adaptive predictioN-region Estimation for Time-series
|
English, Eshant |
|
|
114 |
8 |
|
artikel |
16 |
MUSO: achieving exact machine unlearning in over-parameterized regimes
|
Yang, Ruikai |
|
|
114 |
8 |
|
artikel |
17 |
Offline reinforcement learning for learning to dispatch for job shop scheduling
|
Remmerden, Jesse van |
|
|
114 |
8 |
|
artikel |
18 |
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions
|
Xiao, Minheng |
|
|
114 |
8 |
|
artikel |
19 |
PCE-GNN: a node feature-enhanced graph neural network with pre-clustering strategy
|
Li, Yongbo |
|
|
114 |
8 |
|
artikel |
20 |
Perfect counterfactuals in imperfect worlds: modelling noisy implementation of actions in sequential algorithmic recourse
|
Xuan, Yueqing |
|
|
114 |
8 |
|
artikel |
21 |
Physics encoded blocks in residual neural network architectures for digital twin models
|
Zia, Muhammad Saad |
|
|
114 |
8 |
|
artikel |
22 |
RCC-MAS: a new algorithm for computing all rough-set-constructs
|
González Díaz, Yanir |
|
|
114 |
8 |
|
artikel |
23 |
ReDMan: reliable dexterous manipulation with safe reinforcement learning
|
Geng, Yiran |
|
|
114 |
8 |
|
artikel |
24 |
Robust partial-label learning by leveraging class activation values
|
Fuchs, Tobias |
|
|
114 |
8 |
|
artikel |
25 |
Search or split: policy gradient with adaptive policy space
|
Tedeschi, Gianmarco |
|
|
114 |
8 |
|
artikel |
26 |
Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches
|
Tello-Cifuentes, Lizette |
|
|
114 |
8 |
|
artikel |
27 |
Single image inpainting and super-resolution with simultaneous uncertainty guarantees by universal reproducing kernels
|
Horváth, Bálint |
|
|
114 |
8 |
|
artikel |
28 |
TransFed: cross-domain feature alignment for semi-supervised federated transfer learning
|
Zeng, Linghui |
|
|
114 |
8 |
|
artikel |