Cover Image

Geometric Entropy and Retrieval Phase Transitions in Continuous Thermal Dense Associative Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Petrova, Tatiana, Polyachenko, Evgeny, State, Radu
Format:	Preprint
Published:	2026
Subjects:	Disordered Systems and Neural Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thermal Robustness of Retrieval in Dense Associative Memories: LSE vs LSR Kernels
by: Petrova, Tatiana
Published: (2026)

Saddle Hierarchy in Dense Associative Memory
by: Thériault, Robin, et al.
Published: (2025)

Critical Phase Transition in Large Language Models
by: Nakaishi, Kai, et al.
Published: (2024)

Beyond Disorder: Unveiling Cooperativeness in Multidirectional Associative Memories
by: Alessandrelli, Andrea, et al.
Published: (2025)

Grokking as a First Order Phase Transition in Two Layer Networks
by: Rubin, Noa, et al.
Published: (2023)

Dynamical Properties of Dense Associative Memory
by: Mimura, Kazushi, et al.
Published: (2025)

Geometric Dynamics of Signal Propagation Predict Trainability of Transformers
by: Cowsik, Aditya, et al.
Published: (2024)

Dense Associative Memory with biased patterns: a Replica Symmetric analysis
by: Albanese, Linda, et al.
Published: (2026)

Grokking as the Transition from Lazy to Rich Training Dynamics
by: Kumar, Tanishq, et al.
Published: (2023)

Theory of Speciation Transitions in Diffusion Models with General Class Structure
by: Achilli, Beatrice, et al.
Published: (2026)

Optimal Spectral Transitions in High-Dimensional Multi-Index Models
by: Defilippis, Leonardo, et al.
Published: (2025)

Demolition and Reinforcement of Memories in Spin-Glass-like Neural Networks
by: Ventura, Enrico
Published: (2024)

When Can You Get Away with Low Memory Adam?
by: Kalra, Dayal Singh, et al.
Published: (2025)

The Exponential Capacity of Dense Associative Memories
by: Lucibello, Carlo, et al.
Published: (2023)

Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks
by: Tamai, Keiichi, et al.
Published: (2023)

From Classical to Quantum: Extending Prometheus for Unsupervised Discovery of Phase Transitions in Three Dimensions and Quantum Systems
by: Yee, Brandon, et al.
Published: (2026)

Topological Phase Transition and Geometrical Frustration in Fourier Photonic Simulator
by: Sun, Yuxuan, et al.
Published: (2025)

Dense Hopfield Networks in the Teacher-Student Setting
by: Thériault, Robin, et al.
Published: (2024)

Higher-Order Kuramoto Oscillator Network for Dense Associative Memory
by: Nagerl, Jona, et al.
Published: (2025)

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
by: Mergny, Pierre, et al.
Published: (2024)

Polariton lattices as binarized neuromorphic networks
by: Sedov, Evgeny, et al.
Published: (2024)

Geometric Phase Transition Enables Extreme Hippocampal Memory Capacity
by: Raju, Prashant C.
Published: (2026)

Phases and Phase Transitions of the Disordered Quantum Clock Model
by: Kuttanikkad, Vishnu Pulloor, et al.
Published: (2024)

A Geometric Perspective on the Difficulties of Learning GNN-based SAT Solvers
by: Skenderi, Geri
Published: (2025)

Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers
by: Umeano, Chukwudubem, et al.
Published: (2024)

Dynamical Phase Transitions in Graph Cellular Automata
by: Behrens, Freya, et al.
Published: (2023)

BBP Phase Transition for an Extensive Number of Outliers
by: Forner, Niklas, et al.
Published: (2025)

Attention to Order: Transformers Discover Phase Transitions via Learnability
by: Özönder, Şener
Published: (2025)

Specialization of softmax attention heads: insights from the high-dimensional single-location model
by: Sagitova, M., et al.
Published: (2026)

Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality
by: Pacifico, Feliciano Giuseppe, et al.
Published: (2026)

Diffusion Operator Geometry of Feedforward Representations
by: Reddy, Kanishka
Published: (2026)

Finite-size scaling of hetero-associative retrieval in continuous-signal-driven Ising spin systems
by: Ladiana, Andrea
Published: (2026)

Emergence of Distortions in High-Dimensional Guided Diffusion Models
by: Ventura, Enrico, et al.
Published: (2026)

A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification
by: Kühn, Marcel, et al.
Published: (2026)

Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems
by: Skenderi, Geri, et al.
Published: (2026)

Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model
by: Bordelon, Blake, et al.
Published: (2026)

Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
by: Baglioni, Paolo, et al.
Published: (2026)

High-Dimensional Limit of Stochastic Gradient Flow via Dynamical Mean-Field Theory
by: Nishiyama, Sota, et al.
Published: (2026)

Dynamical Regimes of Multimodal Diffusion Models
by: Albrychiewicz, Emil, et al.
Published: (2026)

Algorithmic Task Capture, Computational Complexity, and Inductive Bias of Infinite Transformers
by: Davidovich, Orit, et al.
Published: (2026)