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2410.13821
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Artificial Kuramoto Oscillatory Neurons
International Conference on Learning Representations (ICLR), 2024
17 October 2024
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
Re-assign community
ArXiv (abs)
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HuggingFace (1 upvotes)
Github (115★)
Papers citing
"Artificial Kuramoto Oscillatory Neurons"
50 / 85 papers shown
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Kuramoto Orientation Diffusion Models
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Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
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390
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Binding threshold units with artificial oscillatory neurons
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Traveling Waves Integrate Spatial Information Through Time
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Roberto C. Budzinski
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761
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09 Feb 2025
Learning Iterative Reasoning through Energy Diffusion
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Jiayuan Mao
Joshua B. Tenenbaum
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Transformers meet Neural Algorithmic Reasoners
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Borja Ibarz
Andrew Dudzik
Jessica B. Hamrick
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Petar Veličković
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315
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Aleksandar Stanić
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Jaehoon Yoo
Sungjin Ahn
Seunghoon Hong
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Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
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James Diffenderfer
Konstantinos Parasyris
B. Kailkhura
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271
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Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
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SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
Computer Vision and Pattern Recognition (CVPR), 2023
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Spyros Gidaris
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515
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Image segmentation with traveling waves in an exactly solvable recurrent neural network
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
L. Liboni
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197
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28 Nov 2023
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
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Hirotada Honda
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Tan-Minh Nguyen
327
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GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
International Conference on Learning Representations (ICLR), 2023
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Bernhard Jaeger
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Andreas Geiger
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16 Oct 2023
Intriguing properties of generative classifiers
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P. Jaini
Kevin Clark
Robert Geirhos
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Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
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Zhun Yang
Adam Ishay
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377
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Rotating Features for Object Discovery
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Phillip Lippe
Francesco Locatello
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480
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01 Jun 2023
Faith and Fate: Limits of Transformers on Compositionality
Neural Information Processing Systems (NeurIPS), 2023
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
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Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
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Contrastive Training of Complex-Valued Autoencoders for Object Discovery
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SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
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The emergence of clusters in self-attention dynamics
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Borjan Geshkovski
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Your Diffusion Model is Secretly a Zero-Shot Classifier
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Alexander C. Li
Mihir Prabhudesai
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Ellis L Brown
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Object-Centric Slot Diffusion
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Energy Transformer
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Yuchen Liang
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Yikang Shen
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Duen Horng Chau
Mohammed J Zaki
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ViT
398
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14 Feb 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
International Conference on Machine Learning (ICML), 2023
Ondrej Biza
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gamaleldin F. Elsayed
Aravindh Mahendran
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09 Feb 2023
Improving Object-centric Learning with Query Optimization
International Conference on Learning Representations (ICLR), 2022
Baoxiong Jia
Yu Liu
Siyuan Huang
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373
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Bridging the Gap to Real-World Object-Centric Learning
International Conference on Learning Representations (ICLR), 2022
Maximilian Seitzer
Max Horn
Antonios Tragoudaras
Dominik Zietlow
Tianjun Xiao
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Zheng Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
412
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0
29 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
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Friedemann Zenke
380
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Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
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Thomas Griffiths
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491
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Learning Iterative Reasoning through Energy Minimization
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268
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Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
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