:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Marié, Sylvain, Knecht, Pablo
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2512.01440
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Causal Behavioral Policy Learning: Applications to Healthcare
by: Knecht, Jonas, et al.
Published: (2025)

A Selective Learning Method for Temporal Graph Continual Learning
by: Liu, Hanmo, et al.
Published: (2025)

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
by: Seong, Jihyeon, et al.
Published: (2024)

GNN Explanations that do not Explain and How to find Them
by: Azzolin, Steve, et al.
Published: (2026)

District Vitality Index Using Machine Learning Methods for Urban Planners
by: Marcoux, Sylvain, et al.
Published: (2025)

STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model
by: Li, Lincan, et al.
Published: (2024)

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers
by: Horton, Mark, et al.
Published: (2025)

Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
by: Castanet, Nicolas, et al.
Published: (2025)

Atrial Fibrillation Prediction Using a Lightweight Temporal Convolutional and Selective State Space Architecture
by: Lee, Yongbin, et al.
Published: (2025)

SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024)

Centralized vs Decentralized Federated Learning: A trade-off performance analysis
by: Medjadji, Chaimaa, et al.
Published: (2026)

Guaranteed prediction sets for functional surrogate models
by: Gray, Ander, et al.
Published: (2025)

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study
by: Wimpff, Martin, et al.
Published: (2025)

bacpipe: a Python package to make bioacoustic deep learning models accessible
by: Kather, Vincent S., et al.
Published: (2026)

Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
by: Xu, Jingqi, et al.
Published: (2025)

Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026)

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data
by: Rewicki, Ferdinand, et al.
Published: (2025)

Scaling sparse feature circuit finding for in-context learning
by: Kharlapenko, Dmitrii, et al.
Published: (2025)

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic
by: Mao, Zhenjiang, et al.
Published: (2025)

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)

Transformers trained on proteins can learn to attend to Euclidean distance
by: Ellmen, Isaac, et al.
Published: (2025)

Time-Aware Feature Selection: Adaptive Temporal Masking for Stable Sparse Autoencoder Training
by: Li, T. Ed, et al.
Published: (2025)

Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
by: Terres-Escudero, Erik B., et al.
Published: (2024)

Temporal Difference Flows
by: Farebrother, Jesse, et al.
Published: (2025)

Improving $(α, f)$-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance
by: García-Márquez, Mario, et al.
Published: (2025)

The surprising efficiency of temporal difference learning for rare event prediction
by: Cheng, Xiaoou, et al.
Published: (2024)

Offline Learning of Controllable Diverse Behaviors
by: Petitbois, Mathieu, et al.
Published: (2025)

Federated Imputation under Heterogeneous Feature Spaces
by: Hocine, Imane, et al.
Published: (2026)

SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity
by: Zou, Shihao, et al.
Published: (2025)

A Variance Minimization Approach to Temporal-Difference Learning
by: Chen, Xingguo, et al.
Published: (2024)

A Temporally Correlated Latent Exploration for Reinforcement Learning
by: Oh, SuMin, et al.
Published: (2024)

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
by: Sponner, Max, et al.
Published: (2024)

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
by: Huang, YiHeng, et al.
Published: (2024)

Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)

The Temporal Graph of Bitcoin Transactions
by: Jalili, Vahid
Published: (2025)

Contrastive Representations for Temporal Reasoning
by: Ziarko, Alicja, et al.
Published: (2025)

Joint Embeddings Go Temporal
by: Ennadir, Sofiane, et al.
Published: (2025)

Deep Temporal Graph Clustering
by: Liu, Meng, et al.
Published: (2023)