Additive Decoders for Latent Variables Identification and
Cartesian-Product Extrapolation

Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation

5 July 2023

Sébastien Lachapelle

Ioannis Mitliagkas

Simon Lacoste-Julien

Papers citing "Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation"

9 / 9 papers shown

Title
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 56 3 0 18 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 26 3 0 08 Oct 2024
Linear causal disentanglement via higher-order cumulants Paula Leyes Carreno Chiara Meroni A. Seigal CML 23 0 0 05 Jul 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Biwei Huang Eric P. Xing Yuejie Chi Kun Zhang 44 4 0 01 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 65 5 0 26 May 2024
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 57 288 0 10 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 254 0 09 Dec 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 898 0 02 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 171 313 0 07 Feb 2020