Saved in:
| Main Authors: | Buyukcakir, Barkin, De Tobel, Jannick, Thevissen, Patrick, Vandermeulen, Dirk, Claes, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.09911 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025)
by: Buyukcakir, Barkin, et al.
Published: (2025)
Autoencoders in Function Space
by: Bunker, Justin, et al.
Published: (2024)
by: Bunker, Justin, et al.
Published: (2024)
FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis
by: Sk., Md. Sajeebul Islam, et al.
Published: (2025)
by: Sk., Md. Sajeebul Islam, et al.
Published: (2025)
Multi-modal Transfer Learning between Biological Foundation Models
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
by: Garau-Luis, Juan Jose, et al.
Published: (2024)
Transformers are Efficient Compilers, Provably
by: Zhai, Xiyu, et al.
Published: (2024)
by: Zhai, Xiyu, et al.
Published: (2024)
Quantum Vision Transformers for Quark-Gluon Classification
by: Cara, Marçal Comajoan, et al.
Published: (2024)
by: Cara, Marçal Comajoan, et al.
Published: (2024)
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
Benchmarking Vision Language Models on German Factual Data
by: Peinl, René, et al.
Published: (2025)
by: Peinl, René, et al.
Published: (2025)
Parameter-Efficient Transformer Embeddings
by: Ndubuaku, Henry, et al.
Published: (2025)
by: Ndubuaku, Henry, et al.
Published: (2025)
Learning Latent Spaces for Domain Generalization in Time Series Forecasting
by: Deng, Songgaojun, et al.
Published: (2024)
by: Deng, Songgaojun, et al.
Published: (2024)
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
by: Zhao, Xinlong, et al.
Published: (2025)
by: Zhao, Xinlong, et al.
Published: (2025)
Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer
by: Li, Mingda, et al.
Published: (2024)
by: Li, Mingda, et al.
Published: (2024)
Dual Preference Distribution Learning for Item Recommendation
by: Dong, Xue, et al.
Published: (2022)
by: Dong, Xue, et al.
Published: (2022)
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
by: Nogales, Miguel, et al.
Published: (2025)
by: Nogales, Miguel, et al.
Published: (2025)
Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
by: Rodríguez-Salas, Dalia
Published: (2025)
by: Rodríguez-Salas, Dalia
Published: (2025)
A supervised deep learning method for nonparametric density estimation
by: Bos, Thijs, et al.
Published: (2023)
by: Bos, Thijs, et al.
Published: (2023)
MSTN: A Lightweight and Fast Model for General TimeSeries Analysis
by: Shevtekar, Sumit S, et al.
Published: (2025)
by: Shevtekar, Sumit S, et al.
Published: (2025)
Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices
by: Shahriar, Tasnim
Published: (2025)
by: Shahriar, Tasnim
Published: (2025)
A Unified Perspective on the Dynamics of Deep Transformers
by: Castin, Valérie, et al.
Published: (2025)
by: Castin, Valérie, et al.
Published: (2025)
Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
by: Lam, Samuel Chun-Hei, et al.
Published: (2025)
by: Lam, Samuel Chun-Hei, et al.
Published: (2025)
Graph Neural Networks for Brain Graph Learning: A Survey
by: Luo, Xuexiong, et al.
Published: (2024)
by: Luo, Xuexiong, et al.
Published: (2024)
Homophily-induced Emergence of Biased Structures in LLM-based Multi-Agent AI Systems
by: Mehdizadeh, Aliakbar, et al.
Published: (2025)
by: Mehdizadeh, Aliakbar, et al.
Published: (2025)
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
by: Caunhye, Ali Murtaza, et al.
Published: (2025)
by: Caunhye, Ali Murtaza, et al.
Published: (2025)
DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
Retrieval Quality at Context Limit
by: McKinnon, Max
Published: (2025)
by: McKinnon, Max
Published: (2025)
Reduced Order Modeling of Partial Differential Equations on Parameter-Dependent Domains Using Deep Neural Networks
by: Bukač, Martina, et al.
Published: (2024)
by: Bukač, Martina, et al.
Published: (2024)
Uncovering Uncertainty in Transformer Inference
by: Brothers, Greyson, et al.
Published: (2024)
by: Brothers, Greyson, et al.
Published: (2024)
JVLGS: Joint Vision-Language Gas Leak Segmentation
by: Zhao, Xinlong, et al.
Published: (2025)
by: Zhao, Xinlong, et al.
Published: (2025)
A Hybrid CNN-Cheby-KAN Framework for Efficient Prediction of Two-Dimensional Airfoil Pressure Distribution
by: Chen, Yaohong, et al.
Published: (2025)
by: Chen, Yaohong, et al.
Published: (2025)
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation
by: Fu, Songchen, et al.
Published: (2025)
by: Fu, Songchen, et al.
Published: (2025)
CNNtention: Can CNNs do better with Attention?
by: Kapila, Nikhil, et al.
Published: (2024)
by: Kapila, Nikhil, et al.
Published: (2024)
FedUNet: A Lightweight Additive U-Net Module for Federated Learning with Heterogeneous Models
by: Seo, Beomseok, et al.
Published: (2025)
by: Seo, Beomseok, et al.
Published: (2025)
Poisson Flow Consistency Training
by: Zhang, Anthony, et al.
Published: (2025)
by: Zhang, Anthony, et al.
Published: (2025)
A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
by: Kim, Abiel
Published: (2025)
by: Kim, Abiel
Published: (2025)
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
by: Adcock, Ben, et al.
Published: (2022)
by: Adcock, Ben, et al.
Published: (2022)
Kernel Limit for a Class of Recurrent Neural Networks Trained on Ergodic Data Sequences
by: Lam, Samuel Chun-Hei, et al.
Published: (2023)
by: Lam, Samuel Chun-Hei, et al.
Published: (2023)
RailSafeNet: Visual Scene Understanding for Tram Safety
by: Valach, Ondřej, et al.
Published: (2025)
by: Valach, Ondřej, et al.
Published: (2025)
Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026)
by: Oursland, Alan
Published: (2026)
Handling Out-of-Distribution Data: A Survey
by: Tamang, Lakpa, et al.
Published: (2025)
by: Tamang, Lakpa, et al.
Published: (2025)
Similar Items
-
Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025) -
Autoencoders in Function Space
by: Bunker, Justin, et al.
Published: (2024) -
FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis
by: Sk., Md. Sajeebul Islam, et al.
Published: (2025) -
Multi-modal Transfer Learning between Biological Foundation Models
by: Garau-Luis, Juan Jose, et al.
Published: (2024) -
Transformers are Efficient Compilers, Provably
by: Zhai, Xiyu, et al.
Published: (2024)