Deep Convolutional Inverse Graphics Network

11 March 2015

Papers citing "Deep Convolutional Inverse Graphics Network"

20 / 20 papers shown

Title
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 139 0 0 17 Apr 2025
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models Konstantin Donhauser Kristina Ulicna Gemma Elyse Moran Aditya Ravuri Kian Kenyon-Dean Cian Eastwood Jason Hartford 127 0 0 20 Dec 2024
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 101 3 0 24 Aug 2023
MVTN: Learning Multi-View Transformations for 3D Understanding Abdullah Hamdi Faisal AlZahrani Silvio Giancola Guohao Li 3DV 3DPC 104 6 0 27 Dec 2022
Deep Structural Causal Models for Tractable Counterfactual Inference Nick Pawlowski Daniel Coelho De Castro Ben Glocker CML MedIm 101 237 0 11 Jun 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 111 137 0 22 Oct 2019
Disentangled Representations in Neural Models William F. Whitney OOD OCL DRL 103 18 0 07 Feb 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 320 2,945 0 15 Dec 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 170 676 0 21 Nov 2014
Inverse Graphics with Probabilistic CAD Models Tejas D. Kulkarni Vikash K. Mansinghka Pushmeet Kohli J. Tenenbaum 3DV 72 19 0 04 Jul 2014
Variational Particle Approximations A. Saeedi Tejas D. Kulkarni Vikash K. Mansinghka S. Gershman 146 60 0 24 Feb 2014
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision Models Varun Jampani Sebastian Nowozin M. Loper Peter V. Gehler 95 45 0 04 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka Tejas D. Kulkarni Yura N. Perov J. Tenenbaum 175 108 0 29 Jun 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 128 396 0 05 Jun 2013
Disentangling Factors of Variation via Generative Entangling Guillaume Desjardins Aaron Courville Yoshua Bengio CoGe CML DRL 90 104 0 19 Oct 2012
Deep Lambertian Networks Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton GAN CVBM 63 84 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012
Elliptical slice sampling Iain Murray Ryan P. Adams D. MacKay 124 465 0 31 Dec 2009
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error Richard D. Wilkinson 104 273 0 20 Nov 2008