ICLR 2025 Past Other
New Frontiers in Associative Memories
NFAM 2025
- Submission deadline
- Feb 15, 2025, 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 (34)
Fetched from OpenReview (v2) on 2026-06-10.
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A BIOLOGICALLY PLAUSIBLE ASSOCIATIVE MEMORY NETWORK
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Associative Memory Learning Through Redundancy Maximization
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Autonomous Memory Rehearsal in Associative Memory Networks and its Implications for Biologically Plausible Continuous Learning
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BEYOND DISORDER: UNVEILING COOPERATIVENESS IN MULTIDIRECTIONAL ASSOCIATIVE MEMORIES
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Can memory networks play a role in task-specific modulation of neural circuits?
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Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory
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Deep Clustering with Associative Memories
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Dense Associative Memory with Epanechnikov energy
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Dense Hopfield Networks with Hierarchical Memories
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Distilled Feedforward Networks Are As Robust as Energy-Based Models trained with Equilibrium Propagation
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Effects of Feature Correlations on Associative Memory Capacity
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Hebbian Sparse Autoencoder
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Hierarchical Episodic Memory in LLMs via Multi-Scale Event Organization
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Hierarchical Hopfield Network Decomposition: A Spiked Covariance Framework for Latent Prototype Discovery
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How Linearly Associative are Memories in Large Language Models?
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In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
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Investigating Hopfield networks on graphs: learning invariance and storing orbits
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Knowledge Distillation for Random Data: Soft Labels and Similarity Scores May Contain Memorized Information
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Learning Memory Mechanisms for Decision Making through Demonstration
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Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
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Lurie networks with k-contracting dynamics
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MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory
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Memorization to Generalization: Emergence of Diffusion Models from Associative Memory Networks
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Modern Hopfield Networks with Continuous-Time Memories
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Multi-channel pattern reconstruction through $L$-directional associative memories
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Oscillator associative memories facilitate high-capacity, compositional inference
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Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings
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Re:Frame - Retrieving Experience From Associative Memory
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Selective Association in Context Memory for Task-Specific Video Understanding
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Sequential Pattern Retrieval: New Representations Inspired by Non-equilibrium Physics and Associative Memory Models
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Test-time scaling meets associative memory: Challenges in subquadratic models
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The Capacity of Modern Hopfield Networks under the Data Manifold Hypothesis
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Training Deep Predictive Coding Networks
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Working Memory Attack on LLMs