Saved in:
| Main Authors: | Gaskin, Thomas, Abel, Guy J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22821 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Your contrastive learning problem is secretly a distribution alignment problem
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026)
by: Saini, Saurabh, et al.
Published: (2026)
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)
Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero
by: Maggiolo, Matteo, et al.
Published: (2025)
by: Maggiolo, Matteo, et al.
Published: (2025)
Just In Time Transformers
by: Benali, Ahmed Ala Eddine, et al.
Published: (2024)
by: Benali, Ahmed Ala Eddine, et al.
Published: (2024)
Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
by: Jin, Cheng, et al.
Published: (2025)
by: Jin, Cheng, et al.
Published: (2025)
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
by: Książek, Kamil, et al.
Published: (2025)
by: Książek, Kamil, et al.
Published: (2025)
X-Factor: Quality Is a Dataset-Intrinsic Property
by: Couch, Josiah, et al.
Published: (2025)
by: Couch, Josiah, 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)
The Domain Mixed Unit: A New Neural Arithmetic Layer
by: Curry, Paul
Published: (2025)
by: Curry, Paul
Published: (2025)
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
by: Helli, Kai, et al.
Published: (2024)
by: Helli, Kai, et al.
Published: (2024)
IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
by: Nakasho, Kazuhisa
Published: (2026)
by: Nakasho, Kazuhisa
Published: (2026)
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
by: Hassanpour, Reza, et al.
Published: (2024)
by: Hassanpour, Reza, et al.
Published: (2024)
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)
Mathematical analysis of the gradients in deep learning
by: Dereich, Steffen, et al.
Published: (2025)
by: Dereich, Steffen, et al.
Published: (2025)
Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
by: Reitich, Fernando
Published: (2026)
by: Reitich, Fernando
Published: (2026)
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
by: Rosenbluth, Eran, et al.
Published: (2024)
by: Rosenbluth, Eran, et al.
Published: (2024)
When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)
by: Basu, Abhinaba
Published: (2026)
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
by: Singh, Diyansha
Published: (2026)
by: Singh, Diyansha
Published: (2026)
Enhancing Predictive Accuracy in Tennis: Integrating Fuzzy Logic and CV-GRNN for Dynamic Match Outcome and Player Momentum Analysis
by: Li, Kechen, et al.
Published: (2025)
by: Li, Kechen, et al.
Published: (2025)
Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)
by: Xie, Jiahao, et al.
Published: (2025)
DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)
by: Wang, Zhen, et al.
Published: (2025)
Backpropagation Through Time For Networks With Long-Term Dependencies
by: Bird, George, et al.
Published: (2021)
by: Bird, George, et al.
Published: (2021)
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
by: Willard, Jared D., et al.
Published: (2023)
by: Willard, Jared D., et al.
Published: (2023)
Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
by: Ho, Siu Hang, et al.
Published: (2025)
by: Ho, Siu Hang, et al.
Published: (2025)
Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)
by: Agrawal, Vidhi, et al.
Published: (2026)
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)
by: Merin, Aur Shalev
Published: (2026)
RG-TTA: Regime-Guided Meta-Control for Test-Time Adaptation in Streaming Time Series
by: Kumar, Indar, et al.
Published: (2026)
by: Kumar, Indar, et al.
Published: (2026)
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)
by: Harfi, Sepehr, et al.
Published: (2026)
Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)
by: Alpay, Faruk, et al.
Published: (2026)
Lost or Hidden? A Concept-Level Forgetting in Supervised Continual Learning
by: Filus, Katarzyna, et al.
Published: (2026)
by: Filus, Katarzyna, et al.
Published: (2026)
Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection
by: Wu, Chengcan, et al.
Published: (2025)
by: Wu, Chengcan, et al.
Published: (2025)
HGTUL: A Hypergraph-based Model For Trajectory User Linking
by: Chang, Fengjie, et al.
Published: (2025)
by: Chang, Fengjie, et al.
Published: (2025)
One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
by: Xu, Binyan, et al.
Published: (2025)
by: Xu, Binyan, et al.
Published: (2025)
Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)
by: Di Ventura, Jacopo, et al.
Published: (2025)
Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
by: Liu, XiaYu, et al.
Published: (2025)
by: Liu, XiaYu, et al.
Published: (2025)
An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
by: Vural, Orhun, et al.
Published: (2025)
by: Vural, Orhun, et al.
Published: (2025)
Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
by: Ricciardi, Antonio Pio, et al.
Published: (2025)
A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation
by: Leyli-Abadi, Milad, et al.
Published: (2026)
by: Leyli-Abadi, Milad, et al.
Published: (2026)
Similar Items
-
Your contrastive learning problem is secretly a distribution alignment problem
by: Chen, Zihao, et al.
Published: (2025) -
An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
by: Saini, Saurabh, et al.
Published: (2026) -
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023) -
Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero
by: Maggiolo, Matteo, et al.
Published: (2025) -
Just In Time Transformers
by: Benali, Ahmed Ala Eddine, et al.
Published: (2024)