Cover Image

A Composable Channel-Adaptive Architecture for Seizure Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carzaniga, Francesco, Hersche, Michael, Schindler, Kaspar, Rahimi, Abbas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A foundation model with multi-variate parallel attention to generate neuronal activity
by: Carzaniga, Francesco, et al.
Published: (2025)

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
by: Carzaniga, Francesco Stefano, et al.
Published: (2025)

Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models
by: Terzić, Aleksandar, et al.
Published: (2026)

Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
by: Hersche, Michael, et al.
Published: (2024)

Limits of Transformer Language Models on Learning to Compose Algorithms
by: Thomm, Jonathan, et al.
Published: (2024)

On the Role of Noise in Factorizers for Disentangling Distributed Representations
by: Karunaratne, Geethan, et al.
Published: (2024)

A Theoretical Analysis of Test-Driven Code Generation
by: Menet, Nicolas, et al.
Published: (2026)

Locally Coherent Parallel Decoding in Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2026)

Zero-shot Classification using Hyperdimensional Computing
by: Ruffino, Samuele, et al.
Published: (2024)

Soft-Masked Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2025)

Scalable Evaluation and Neural Models for Compositional Generalization
by: Camposampiero, Giacomo, et al.
Published: (2025)

I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models
by: Camposampiero, Giacomo, et al.
Published: (2025)

Thompson Sampling via Fine-Tuning of LLMs
by: Menet, Nicolas, et al.
Published: (2025)

Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
by: Terzić, Aleksandar, et al.
Published: (2025)

Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?
by: Camposampiero, Giacomo, et al.
Published: (2025)

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)

On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
by: Terzić, Aleksandar, et al.
Published: (2024)

Towards Learning Abductive Reasoning using VSA Distributed Representations
by: Camposampiero, Giacomo, et al.
Published: (2024)

Terminating Differentiable Tree Experts
by: Thomm, Jonathan, et al.
Published: (2024)

12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
by: Wibowo, Yoga Esa, et al.
Published: (2024)

Factorizers for Distributed Sparse Block Codes
by: Hersche, Michael, et al.
Published: (2023)

Composer: A Search Framework for Hybrid Neural Architecture Design
by: Acun, Bilge, et al.
Published: (2025)

Cross-patient Seizure Onset Zone Classification by Patient-Dependent Weight
by: Zhao, Xuyang, et al.
Published: (2025)

MARA: Continuous SE(3)-Equivariant Attention for Molecular Force Fields
by: Leonardi, Francesco, et al.
Published: (2026)

POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
by: Menet, Nicolas, et al.
Published: (2026)

Neural Memory Networks for Seizure Type Classification
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)

Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
by: Mahdi, Mohamed, et al.
Published: (2026)

Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
by: Hajisafi, Arash, et al.
Published: (2024)

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
by: Peng, Ruimin, et al.
Published: (2024)

MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)

From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals
by: Darankoum, Davy, et al.
Published: (2024)

Disentangling shared and private latent factors in multimodal Variational Autoencoders
by: Märtens, Kaspar, et al.
Published: (2024)

Motif Discovery Framework for Psychiatric EEG Data Classification
by: Kraljevska, Melanija, et al.
Published: (2025)

GEDAN: Learning the Edit Costs for Graph Edit Distance
by: Leonardi, Francesco, et al.
Published: (2025)

The Hessian of tall-skinny networks is easy to invert
by: Rahimi, Ali
Published: (2026)

Neural Decompiling of Tracr Transformers
by: Thurnherr, Hannes, et al.
Published: (2024)

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
by: Timans, Alexander, et al.
Published: (2024)

Adaptive Forests For Classification
by: Bertsimas, Dimitris, et al.
Published: (2025)

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
by: Alver, Safa, et al.
Published: (2024)

Adaptive Conditional Gradient Descent
by: Khademi, Abbas, et al.
Published: (2025)