Normalization in Attention Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Karagodin, Nikita, Ge, Shu, Polyanskiy, Yury, Rigollet, Philippe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustering in Causal Attention Masking
by: Karagodin, Nikita, et al.
Published: (2024)
by: Karagodin, Nikita, et al.
Published: (2024)
Phase Diagram of Dropout for Two-Layer Neural Networks in the Mean-Field Regime
by: Chizat, Lénaïc, et al.
Published: (2025)
by: Chizat, Lénaïc, et al.
Published: (2025)
The Compute ICE-AGE: Invariant Compute Envelope under Addressable Graph Evolution
by: Martin II, R. Jay
Published: (2026)
by: Martin II, R. Jay
Published: (2026)
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
by: Stein, Viktor, et al.
Published: (2026)
by: Stein, Viktor, et al.
Published: (2026)
Convergence, design and training of continuous-time dropout as a random batch method
by: Álvarez-López, Antonio, et al.
Published: (2025)
by: Álvarez-López, Antonio, et al.
Published: (2025)
Next Generation Equation-Free Multiscale Modelling of Crowd Dynamics via Machine Learning
by: Alvarez, Hector Vargas, et al.
Published: (2025)
by: Alvarez, Hector Vargas, et al.
Published: (2025)
Sampling Boltzmann distributions via normalizing flow approximation of transport maps
by: Rehman, Zia Ur, et al.
Published: (2026)
by: Rehman, Zia Ur, et al.
Published: (2026)
Optimization Dynamics of Equivariant and Augmented Neural Networks
by: Nordenfors, Oskar, et al.
Published: (2023)
by: Nordenfors, Oskar, et al.
Published: (2023)
Computational Complexity of Minimal Trap Spaces in Boolean Networks
by: Moon, Kyungduk, et al.
Published: (2022)
by: Moon, Kyungduk, et al.
Published: (2022)
Surjective Independence of Causal Influences for Local Bayesian Network Structures
by: Drury, Kieran, et al.
Published: (2025)
by: Drury, Kieran, et al.
Published: (2025)
Error estimates of asymptotic-preserving neural networks in approximating stochastic linearized Boltzmann equation
by: Wan, Jiayu, et al.
Published: (2025)
by: Wan, Jiayu, et al.
Published: (2025)
Data Augmentation and Regularization for Learning Group Equivariance
by: Nordenfors, Oskar, et al.
Published: (2025)
by: Nordenfors, Oskar, et al.
Published: (2025)
A DeepParticle method for learning and generating aggregation patterns in multi-dimensional Keller-Segel chemotaxis systems
by: Wang, Zhongjian, et al.
Published: (2022)
by: Wang, Zhongjian, et al.
Published: (2022)
ARDO: A Weak Formulation Deep Neural Network Method for Elliptic and Parabolic PDEs Based on Random Differences of Test Functions
by: Cai, Wei, et al.
Published: (2025)
by: Cai, Wei, et al.
Published: (2025)
Tracking Finite-Time Lyapunov Exponents to Robustify Neural ODEs
by: Wöhrer, Tobias, et al.
Published: (2026)
by: Wöhrer, Tobias, et al.
Published: (2026)
Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
by: Drury, Kieran, et al.
Published: (2025)
by: Drury, Kieran, et al.
Published: (2025)
Ergodic Generative Flows
by: Brunswic, Leo Maxime, et al.
Published: (2025)
by: Brunswic, Leo Maxime, et al.
Published: (2025)
Introducing COGENT3: An AI Architecture for Emergent Cognition
by: Salazar, Eduardo
Published: (2025)
by: Salazar, Eduardo
Published: (2025)
Cluster-based classification with neural ODEs via control
by: Álvarez-López, Antonio, et al.
Published: (2023)
by: Álvarez-López, Antonio, et al.
Published: (2023)
Data-driven Identification of Attractors Using Machine Learning
by: Gameiro, Marcio, et al.
Published: (2025)
by: Gameiro, Marcio, et al.
Published: (2025)
Dynamic Level Sets
by: Fiske, Michael Stephen
Published: (2026)
by: Fiske, Michael Stephen
Published: (2026)
A Physics-Informed, Global-in-Time Neural Particle Method for the Spatially Homogeneous Landau Equation
by: Kim, Minseok, et al.
Published: (2026)
by: Kim, Minseok, et al.
Published: (2026)
Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse
by: Chung, Seung Whan, et al.
Published: (2025)
by: Chung, Seung Whan, et al.
Published: (2025)
Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees
by: Sagodi, Abel, et al.
Published: (2026)
by: Sagodi, Abel, et al.
Published: (2026)
A Formal Analysis of Iterated TDD
by: Ruparel, Hemil, et al.
Published: (2024)
by: Ruparel, Hemil, et al.
Published: (2024)
Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee
by: Caprio, Michele
Published: (2024)
by: Caprio, Michele
Published: (2024)
Machine Learning-based quadratic closures for non-intrusive Reduced Order Models
by: Codega, Gabriele, et al.
Published: (2025)
by: Codega, Gabriele, et al.
Published: (2025)
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs
by: Chen, Ziye, et al.
Published: (2025)
by: Chen, Ziye, et al.
Published: (2025)
The Predictive-Causal Gap: An Impossibility Theorem and Large-Scale Neural Evidence
by: Liu, Kejun
Published: (2026)
by: Liu, Kejun
Published: (2026)
A Dynamical Microscope for Multivariate Oscillatory Signals: Validating Regime Recovery on Shared Manifolds
by: Furman, Łukasz, et al.
Published: (2026)
by: Furman, Łukasz, et al.
Published: (2026)
Localmax dynamics for attention in transformers and its asymptotic behavior
by: Cimetière, Henri, et al.
Published: (2025)
by: Cimetière, Henri, et al.
Published: (2025)
Invariant Manifolds of Discrete-time Dynamical Systems with Nonlinear Exosystems via Hybrid Physics-Informed Neural Networks
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
by: Patsatzis, Dimitrios G., et al.
Published: (2025)
Neural Network-Enhanced Disease Spread Dynamics Over Time and Space
by: Caga-anan, Randy L.
Published: (2024)
by: Caga-anan, Randy L.
Published: (2024)
Losing momentum in continuous-time stochastic optimisation
by: Jin, Kexin, et al.
Published: (2022)
by: Jin, Kexin, et al.
Published: (2022)
Gradient Flow Structure and Quantitative Dynamics of Multi-Head Self-Attention
by: Pendharkar, Ayan
Published: (2026)
by: Pendharkar, Ayan
Published: (2026)
Neural Manifolds as Crystallized Embeddings: A Synthesis of the Free Energy Principle, Generalized Synchronization, and Hebbian Plasticity
by: O'Reilly-Shah, Vikas N.
Published: (2026)
by: O'Reilly-Shah, Vikas N.
Published: (2026)
Transformer-based Koopman Autoencoder for Linearizing Fisher's Equation
by: Rana, Kanav Singh, et al.
Published: (2024)
by: Rana, Kanav Singh, et al.
Published: (2024)
Functional Graphs for Predicting and Explaining Goal Failure in Sparse Goal-Conditioned RL
by: Dash, Shalley
Published: (2026)
by: Dash, Shalley
Published: (2026)
Mathematical and numerical methods for understanding immune cell motion during wound healing
by: Lupi, Giulia, et al.
Published: (2025)
by: Lupi, Giulia, et al.
Published: (2025)
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets
by: Shokar, Ira J. S., et al.
Published: (2023)
by: Shokar, Ira J. S., et al.
Published: (2023)
Similar Items
-
Clustering in Causal Attention Masking
by: Karagodin, Nikita, et al.
Published: (2024) -
Phase Diagram of Dropout for Two-Layer Neural Networks in the Mean-Field Regime
by: Chizat, Lénaïc, et al.
Published: (2025) -
The Compute ICE-AGE: Invariant Compute Envelope under Addressable Graph Evolution
by: Martin II, R. Jay
Published: (2026) -
SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds
by: Stein, Viktor, et al.
Published: (2026) -
Convergence, design and training of continuous-time dropout as a random batch method
by: Álvarez-López, Antonio, et al.
Published: (2025)