Discrete, compositional, and symbolic representations through attractor
dynamics

Discrete, compositional, and symbolic representations through attractor dynamics

3 October 2023

Nikolay Malkin

Guillaume Lajoie

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Papers citing "Discrete, compositional, and symbolic representations through attractor dynamics"

16 / 16 papers shown

Title
GFlowNet-EM for learning compositional latent variable models J. E. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio CoGe 78 40 0 13 Feb 2023
Sources of Richness and Ineffability for Phenomenally Conscious States Xu Ji Eric Elmoznino George Deane Axel Constant G. Dumas Guillaume Lajoie Jonathan Simon Yoshua Bengio 69 12 0 13 Feb 2023
Is a Modular Architecture Enough? Sarthak Mittal Yoshua Bengio Guillaume Lajoie 101 48 0 06 Jun 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 817 9,576 0 28 Jan 2022
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 94 114 0 30 Nov 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 231 5,539 0 07 Jul 2021
Emergent Communication of Generalizations Jesse Mu Noah D. Goodman AI4CE LLMAG 118 43 0 04 Jun 2021
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 225 849 0 26 Jun 2020
Compositionality and Generalization in Emergent Languages Rahma Chaabouni Eugene Kharitonov Diane Bouchacourt Emmanuel Dupoux Marco Baroni CoGe AI4CE 83 139 0 20 Apr 2020
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 164 210 0 23 May 2019
A mathematical theory of semantic development in deep neural networks Andrew M. Saxe James L. McClelland Surya Ganguli 73 271 0 23 Oct 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,019 0 02 Nov 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 187 1,614 0 05 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 339 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 196 2,533 0 02 Nov 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 303 6,949 0 12 Mar 2015