Saved in:
| Main Authors: | Ramirez-Gonzalez, Jose-Hermenegildo, Sun, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.04417 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
by: Conforti, Giovanni, et al.
Published: (2025)
by: Conforti, Giovanni, et al.
Published: (2025)
Mathematical Foundations of Neural Tangents and Infinite-Width Networks
by: Mysore, Rachana, et al.
Published: (2025)
by: Mysore, Rachana, et al.
Published: (2025)
Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)
by: Bibb, Meghan, et al.
Published: (2025)
Recent Advances in Data-Driven Business Process Management
by: Ackermann, Lars, et al.
Published: (2024)
by: Ackermann, Lars, et al.
Published: (2024)
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)
by: Duy, Dang Sy, et al.
Published: (2026)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Error analysis for the deep Kolmogorov method
by: Cîmpean, Iulian, et al.
Published: (2025)
by: Cîmpean, Iulian, et al.
Published: (2025)
Geometric-Stochastic Multimodal Deep Learning for Predictive Modeling of SUDEP and Stroke Vulnerability
by: Girish, Preksha, et al.
Published: (2025)
by: Girish, Preksha, et al.
Published: (2025)
ProfileXAI: User-Adaptive Explainable AI
by: Corrales, Gilber A., et al.
Published: (2025)
by: Corrales, Gilber A., et al.
Published: (2025)
Pattern Recognition Tasks with Personalized Federated Learning
by: Rahman, Md. Arifur, et al.
Published: (2026)
by: Rahman, Md. Arifur, et al.
Published: (2026)
Adaptive Negative Scheduling for Graph Contrastive Learning
by: Ali, Adnan, et al.
Published: (2026)
by: Ali, Adnan, et al.
Published: (2026)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)
by: Karn, Isha, et al.
Published: (2025)
Gradient Descent as Implicit EM in Distance-Based Neural Models
by: Oursland, Alan
Published: (2025)
by: Oursland, Alan
Published: (2025)
Complex-Valued Phase-Coherent Transformer
by: Hioki, Leona
Published: (2026)
by: Hioki, Leona
Published: (2026)
Feature Learning in Wide Neural Networks under $μ$P: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit
by: Xodarev, Akmal
Published: (2026)
by: Xodarev, Akmal
Published: (2026)
Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study
by: Süleymanoğlu, Görkem Can
Published: (2026)
by: Süleymanoğlu, Görkem Can
Published: (2026)
Learning from Preferences and Mixed Demonstrations in General Settings
by: Brown, Jason R, et al.
Published: (2025)
by: Brown, Jason R, et al.
Published: (2025)
Deriving Decoder-Free Sparse Autoencoders from First Principles
by: Oursland, Alan
Published: (2026)
by: Oursland, Alan
Published: (2026)
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)
by: Pather, Kaviraj, et al.
Published: (2025)
A Constraint-Preserving Neural Network Approach for Solving Mean-Field Games Equilibrium
by: Liu, Jinwei, et al.
Published: (2025)
by: Liu, Jinwei, et al.
Published: (2025)
Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
by: Mehta, Shivam, et al.
Published: (2025)
by: Mehta, Shivam, et al.
Published: (2025)
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)
by: Brännvall, Rickard, et al.
Published: (2023)
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
by: Chae, JungWoo, et al.
Published: (2025)
by: Chae, JungWoo, et al.
Published: (2025)
ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)
by: Luo, Yiran, et al.
Published: (2025)
TACIT: Transformation-Aware Capturing of Implicit Thought
by: Nobrega, Daniel
Published: (2026)
by: Nobrega, Daniel
Published: (2026)
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler
by: Jin, Cheng, et al.
Published: (2025)
by: Jin, Cheng, et al.
Published: (2025)
WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
by: Cooper-Baldock, Zachary, et al.
Published: (2026)
by: Cooper-Baldock, Zachary, et al.
Published: (2026)
NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)
by: Tang, Zhengzheng
Published: (2026)
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
by: Li, Zhong, et al.
Published: (2020)
by: Li, Zhong, et al.
Published: (2020)
Latent-Autoregressive GP-VAE Language Model
by: Ruffenach, Yves
Published: (2025)
by: Ruffenach, Yves
Published: (2025)
A Knowledge Graph based Approach for Mobile Application Recommendation
by: Zhang, Mingwei, et al.
Published: (2020)
by: Zhang, Mingwei, et al.
Published: (2020)
Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
by: Liu, Hongbo, et al.
Published: (2025)
by: Liu, Hongbo, et al.
Published: (2025)
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
by: Pepe, Alberto, et al.
Published: (2026)
by: Pepe, Alberto, et al.
Published: (2026)
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
by: Feng, Xuchen, et al.
Published: (2025)
by: Feng, Xuchen, et al.
Published: (2025)
The Domain Mixed Unit: A New Neural Arithmetic Layer
by: Curry, Paul
Published: (2025)
by: Curry, Paul
Published: (2025)
Attention Please: What Transformer Models Really Learn for Process Prediction
by: Käppel, Martin, et al.
Published: (2024)
by: Käppel, Martin, et al.
Published: (2024)
Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
by: Ma, Minghui, et al.
Published: (2026)
by: Ma, Minghui, et al.
Published: (2026)
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification
by: Sharma, Paras, et al.
Published: (2026)
by: Sharma, Paras, et al.
Published: (2026)
Similar Items
-
Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
by: Conforti, Giovanni, et al.
Published: (2025) -
Mathematical Foundations of Neural Tangents and Infinite-Width Networks
by: Mysore, Rachana, et al.
Published: (2025) -
Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025) -
Recent Advances in Data-Driven Business Process Management
by: Ackermann, Lars, et al.
Published: (2024) -
Normalisation and Initialisation Strategies for Graph Neural Networks in Blockchain Anomaly Detection
by: Duy, Dang Sy, et al.
Published: (2026)