Workshop
New Frontiers in Associative Memories
Julia Kempe · Dmitry Krotov · Hilde Kuehne · Daniel Lee · Sara Solla
Hall 4 #5
Sat 26 Apr, 6 p.m. PDT
This workshop will discuss the latest multidisciplinary developments in Associative Memory. A number of leading researchers in this topic from around the world have already agreed to attend and present their latest results. We anticipate sharing their presentations and outlining future research directions in this emerging field with the rest of the ICLR community.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
Sat 6:00 p.m. - 6:10 p.m.
|
Introduction
(
Intro
)
>
SlidesLive Video |
Dmitry Krotov · Daniel Lee 🔗 |
Sat 6:10 p.m. - 6:40 p.m.
|
Parikshit Ram
(
Invited Talk
)
>
SlidesLive Video |
Parikshit Ram 🔗 |
Sat 6:40 p.m. - 7:10 p.m.
|
Provable neural scaling laws for associative memories
(
Invited Talk
)
>
SlidesLive Video |
Elvis Dohmatob 🔗 |
Sat 7:10 p.m. - 7:30 p.m.
|
Coffee Break and Poster Session
|
🔗 |
Sat 7:30 p.m. - 7:45 p.m.
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Oscillator associative memories facilitate high-capacity, compositional inference
(
Oral
)
>
link
SlidesLive Video |
Christopher Kymn · Connor Bybee · Zeyu Yun · Denis Kleyko · Bruno Olshausen 🔗 |
Sat 7:45 p.m. - 8:00 p.m.
|
Investigating Hopfield networks on graphs: learning invariance and storing orbits
(
Oral
)
>
link
SlidesLive Video |
Michael Murray · Christopher Hillar 🔗 |
Sat 8:00 p.m. - 8:15 p.m.
|
How Linearly Associative are Memories in Large Language Models?
(
Oral
)
>
link
SlidesLive Video |
Akshat Gupta · Nehal Sindhu · Gopala Anumanchipalli 🔗 |
Sat 8:15 p.m. - 8:30 p.m.
|
Can memory networks play a role in task-specific modulation of neural circuits?
(
Oral
)
>
link
SlidesLive Video |
Susmit Agrawal · Krishn Kher · Madhumitha V · Vineeth Balasubramanian 🔗 |
Sat 8:30 p.m. - 8:45 p.m.
|
MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory
(
Oral
)
>
link
SlidesLive Video |
Seyed MohammadAli Modarressi · Abdullatif Köksal · Ayyoob Imani · Mohsen Fayyaz · Hinrich Schuetze 🔗 |
Sat 8:45 p.m. - 10:30 p.m.
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Lunch and Poster Session
|
🔗 |
Sat 10:30 p.m. - 11:00 p.m.
|
Léon Bottou
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 11:00 p.m. - 11:15 p.m.
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Memorization to Generalization: Emergence of Diffusion Models from Associative Memory Networks
(
Oral
)
>
link
SlidesLive Video |
Bao Pham · Gabriel Raya · Matteo Negri · Mohammed J Zaki · Luca Ambrogioni · Dmitry Krotov 🔗 |
Sat 11:15 p.m. - 11:30 p.m.
|
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
(
Oral
)
>
link
SlidesLive Video |
Matthew Smart · Alberto Bietti · Anirvan Sengupta 🔗 |
Sat 11:30 p.m. - 12:00 a.m.
|
Adriano Barra
(
Invited Talk
)
>
SlidesLive Video |
Adriano Barra 🔗 |
Sun 12:00 a.m. - 12:30 a.m.
|
Coffee Break and Poster Session
|
🔗 |
Sun 12:30 a.m. - 1:30 a.m.
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Poster Session
(
Poster Session
)
>
|
🔗 |
Sun 1:30 a.m. - 3:00 a.m.
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Associative Memory and LLMs
(
Panel discussion
)
>
SlidesLive Video |
Benjamin Hoover 🔗 |
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|
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory ( Poster ) > link | Sascha Marton · Moritz Schneider · Jannik Brinkmann · Stefan Lüdtke · Christian Bartelt · Heiner Stuckenschmidt 🔗 |
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Effects of Feature Correlations on Associative Memory Capacity ( Poster ) > link | Stefan Bielmeier · Gerald Friedland 🔗 |
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Training Deep Predictive Coding Networks ( Poster ) > link | Chang Qi · Thomas Lukasiewicz · Tommaso Salvatori 🔗 |
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Associative Memory Learning Through Redundancy Maximization ( Poster ) > link | Mark Blümel · David Ehrlich · Andreas C. Schneider · Abdullah Makkeh · Marcel Graetz · Valentin Neuhaus · Viola Priesemann · Michael Wibral 🔗 |
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BEYOND DISORDER: UNVEILING COOPERATIVENESS IN MULTIDIRECTIONAL ASSOCIATIVE MEMORIES ( Poster ) > link | Andrea Alessandrelli · Adriano Barra · Federico Ricci-Tersenghi · Andrea Ladiana · Andrea Lepre 🔗 |
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Dense Hopfield Networks with Hierarchical Memories ( Poster ) > link | Aditya Cowsik · Adithya Sriram 🔗 |
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Hierarchical Episodic Memory in LLMs via Multi-Scale Event Organization ( Poster ) > link | Martin A Benfeghoul · Haitham Bou Ammar · Jun Wang · Zafeirios Fountas 🔗 |
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Selective Association in Context Memory for Task-Specific Video Understanding ( Poster ) > link | Shaurjya Mandal · Nutan Sharma 🔗 |
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Multi-channel pattern reconstruction through $L$-directional associative memories ( Poster ) > link | Alberto Fachechi · Elena Agliari · Andrea Alessandrelli · Paulo Duarte Mourão 🔗 |
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Learning Memory Mechanisms for Decision Making through Demonstration ( Poster ) > link | William Yue · Bo Liu · Peter Stone 🔗 |
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Distilled Feedforward Networks Are As Robust as Energy-Based Models trained with Equilibrium Propagation ( Poster ) > link | Siddharth Mansingh · Garrett Kenyon · Michael Teti 🔗 |
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Modern Hopfield Networks with Continuous-Time Memories ( Poster ) > link | Saul Santos · António Farinhas · Daniel McNamee · Andre Martins 🔗 |
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Autonomous Memory Rehearsal in Associative Memory Networks and its Implications for Biologically Plausible Continuous Learning ( Poster ) > link | Paul SAIGHI · Marcelo ROZENBERG 🔗 |
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Pseudo-likelihood produces associative memories able to generalize, even for asymmetric couplings ( Poster ) > link | Francesco D'Amico · Saverio Rossi · Luca Maria Del Bono · Matteo Negri 🔗 |
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Lurie networks with $k$-contracting dynamics ( Poster ) > link | Carl Richardson · Matthew Turner · Steve Gunn 🔗 |
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Test-time scaling meets associative memory: Challenges in subquadratic models ( Poster ) > link | Hamza T. Chaudhry · Mohit Makarand Kulkarni · Cengiz Pehlevan 🔗 |
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Sequential Pattern Retrieval: New Representations Inspired by Non-equilibrium Physics and Associative Memory Models ( Poster ) > link | Matthew Du · Agnish Kumar Behera · Suriyanarayanan Vaikuntanathan 🔗 |
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The Capacity of Modern Hopfield Networks under the Data Manifold Hypothesis ( Poster ) > link | Beatrice Achilli · Luca Ambrogioni · Carlo Lucibello · Marc Mezard · Enrico Ventura 🔗 |
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Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory ( Poster ) > link | Nikola Zubic · Federico Soldà · Aurelio Sulser · Davide Scaramuzza 🔗 |
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Re:Frame - Retrieving Experience From Associative Memory ( Poster ) > link | Daniil Zelezetsky · Egor Cherepanov · Aleksey Kovalev · Aleksandr Panov 🔗 |
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Knowledge Distillation for Random Data: Soft Labels and Similarity Scores May Contain Memorized Information ( Poster ) > link | Freya Behrens 🔗 |
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Working Memory Attack on LLMs ( Poster ) > link | Bibek Upadhayay · Vahid Behzadan · Amin Karbasi 🔗 |
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Hierarchical Hopfield Network Decomposition: A Spiked Covariance Framework for Latent Prototype Discovery ( Poster ) > link | Saleh Sargolzaei · Luis Rueda 🔗 |
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Hebbian Sparse Autoencoder ( Poster ) > link | Nikita Kurdiukov · Anton Razzhigaev 🔗 |
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A BIOLOGICALLY PLAUSIBLE ASSOCIATIVE MEMORY NETWORK ( Poster ) > link | Mohadeseh Shafiei Kafraj · Dmitry Krotov · Brendan Bicknell · Peter Latham 🔗 |
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Dense Associative Memory with Epanechnikov energy ( Poster ) > link | Benjamin Hoover · Krishna Balasubramanian · Dmitry Krotov · Parikshit Ram 🔗 |
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Deep Clustering with Associative Memories ( Poster ) > link | Bishwajit Saha · Dmitry Krotov · Mohammed J Zaki · Parikshit Ram 🔗 |