collaborators

5 papers

cs.CV2026

PlayClass: Automated Play Behaviour Classification in Poultry

Prince Ravi Leow, Neil Scheidwasser, Rebecca Oscarsson +3

Automated monitoring of animal welfare has largely targeted negative indicators, leaving positive welfare behaviours such as play underexplored. To address this gap, we present Pla…

cs.LG2026

Interdomain Attention: Beyond Token-Level Key-Value Memory

Naoki Kiyohara, Harrison Bo Hua Zhu, Riccardo El Hassanin +4

Softmax attention-based transformers and recurrent memory-based models (e.g., state space models (SSMs)) form the foundation of modern sequence models. Hybrid architectures aim to…

cs.LG2026

LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification

Yicheng Feng, Hairong Chen, Ziyu Jia +2

Alzheimer's disease (AD) alters brain electrophysiology and disrupts multichannel EEG dynamics, making accurate and clinically useful EEG-based diagnosis increasingly important for…

cs.LG2025

Graph Mixing Additive Networks

Maya Bechler-Speicher, Andrea Zerio, Maor Huri +5

We introduce GMAN, a flexible, interpretable, and expressive framework that extends Graph Neural Additive Networks (GNANs) to learn from sets of sparse time-series data. GMAN repre…

cs.LG2025

SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data

Maya Bechler-Speicher, Andrea Zerio, Maor Huri +5

Real-world temporal data often consists of multiple signal types recorded at irregular, asynchronous intervals. For instance, in the medical domain, different types of blood tests…