ICLR 2026 Past Other
New Frontiers in Associative Memories - Workshop at ICLR 2026
NFAM 2026
- Submission deadline
- Feb 15, 2026, 11:59 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (42)
Fetched from OpenReview (v2) on 2026-06-10.
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A Dynamical Theory of Sequential Retrieval in Input-Driven Hopfield Networks
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Adaptive Associative Memory with Differentiable Content-Addressable Memories for Online Learning
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Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness
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ASSOCIATIVE RETRIEVAL AS TEST-TIME OPTIMIZATION IN TRANSFORMER ATTENTION
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Boltzmann Routing for Energy-Compatible Mixture of Experts
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Can Local Energy Geometry Predict Per-Pattern Retrieval Reliability in Dense Associative Memories?
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Continuous-Time Heteroassociative Memory at Biological Timescales
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Deep Neural Networks as Finite-Step Hopfield Dynamics
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Dense Associative Memories with Analog Circuits
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Dense Associative Memory for Gaussian Distributions
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Dyadic Learning in Asymmetric ConvNets
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Dynamics of modern Hopfield networks
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Energy Landscapes of Truthfulness in LLM Attention
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Energy Minimization for Training Dense Associative Memory
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EnergyMap: Unraveling the Data Manifold with Energy-based Dimensionality Reduction
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Extending LLM Context via Associative Recurrent Memory
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Generative Associative Memory via Equilibrium Matching
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GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
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Graph Hopfield Networks: Energy-Based Node Classification with Associative Memory
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Interdomain Attention: Beyond Token-Level Key-Value Memory
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Intrinsic Dense Associative Memory on Riemannian Manifolds
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Language Diffusion Models are Associative Memories
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Learning to learn dynamical associations with reward-gated local plasticity
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Mixture of Chapters: Scaling Learnt Memory in Transformers
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On low-dimensional representations and associative memory energy functions
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Optimizing Remasking Schedules for Reasoning in Discrete Diffusion Models
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Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping
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Plan-Aware Automated Context Engineering
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Power-law feature statistics explain test reconstruction gaps in Associative Memories
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Reasoning as Attractor Dynamics: Latent Memory Retrieval via Gibbs-Weighted Energy Minimization
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Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion
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Sharp storage capacity of a simplified model of linear associative memory
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Sinkhorn based Associative Memory retrieval using Spherical Hellinger Kantorovich dynamics
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Sparse Associative Memories Through the Lens of Compact Kernel Regression
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TACE: Token-Aware Chunked Encoding
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The Key to State Reduction in Linear Attention: A Rank-based Perspective
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Thermal Robustness of Retrieval in Dense Associative Memories: LSE vs LSR Kernels
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Thermodynamic Binding: Freezing Chimeric States in Multi-Modal Associative Memories
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To Keep or to Forget: Toward Context-Sensitive Memory in Large Language Models
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Towards Context-Based Retrieval in Associative Memories
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Training a Convergent Energy Transformer with Equilibrium Propagation
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When Memories Collide: Associative Interference Dynamics in Lifelong Agent Memory