Multilinear Latent Conditioning for Generating Unseen Attribute
Combinations

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations

9 September 2020

Markos Georgopoulos

Grigorios G. Chrysos

Yannis Panagakis

Papers citing "Multilinear Latent Conditioning for Generating Unseen Attribute Combinations"

7 / 7 papers shown

Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 49 3 0 29 May 2024
Polynomial Neural Fields for Subband Decomposition and Manipulation Guandao Yang Sagie Benaim Varun Jampani Kyle Genova Jonathan T. Barron Thomas Funkhouser Bharath Hariharan Serge J. Belongie 44 20 0 09 Feb 2023
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar S. Zafeiriou 24 119 0 07 Jul 2021
Augmenting Deep Classifiers with Polynomial Neural Networks Grigorios G. Chrysos Markos Georgopoulos Jiankang Deng Jean Kossaifi Yannis Panagakis Anima Anandkumar 19 18 0 16 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016