Generative Neurosymbolic Machines

23 October 2020

Papers citing "Generative Neurosymbolic Machines"

24 / 24 papers shown

Title
Independence Is Not an Issue in Neurosymbolic AI Håkan Karlsson Faronius Pedro Zuidberg Dos Martires 33 0 0 10 Apr 2025
Historical Printed Ornaments: Dataset and Tasks Sayan Kumar Chaki Z. S. Baltaci Elliot Vincent Remi Emonet Fabienne Vial-Bonacci Christelle Bahier-Porte Mathieu Aubry Thierry Fournel 42 0 0 16 Aug 2024
Unsupervised Dynamics Prediction with Object-Centric Kinematics Yeon-Ji Song Suhyung Choi Jaein Kim Jin-Hwa Kim Byoung-Tak Zhang 38 0 0 29 Apr 2024
Neural Language of Thought Models Yi-Fu Wu Minseung Lee Sungjin Ahn MLLM VLM 61 6 0 02 Feb 2024
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints Jinyang Yuan Tonglin Chen Zhimeng Shen Bin Li Xiangyang Xue OCL 28 2 0 03 Jan 2024
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs D. Dhami Kristian Kersting 30 5 0 14 Jun 2023
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 37 20 0 16 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 29 36 0 02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers Oscar Vikström Alexander Ilin OCL ViT 32 4 0 25 Oct 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns Laurynas Karazija Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL 103 20 0 21 Oct 2022
Motion-inductive Self-supervised Object Discovery in Videos Shuangrui Ding Weidi Xie Yabo Chen Rui Qian Xiaopeng Zhang H. Xiong Q. Tian VOS 16 18 0 01 Oct 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 19 4 0 15 Sep 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 48 114 0 27 May 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision Manuel Traub S. Otte Tobias Menge Matthias Karlbauer Jannik Thummel Martin Volker Butz 28 20 0 26 May 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax Bruno Sauvalle A. de La Fortelle 3DPC 49 12 0 26 May 2022
Neuro-Symbolic Verification of Deep Neural Networks Xuan Xie Kristian Kersting Daniel Neider AAML NAI 21 15 0 02 Mar 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 18 21 0 07 Feb 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 20 7 0 31 Dec 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 27 84 0 19 Nov 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming Arseny Skryagin Wolfgang Stammer Daniel Ochs D. Dhami Kristian Kersting NAI 30 6 0 07 Oct 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 29 115 0 20 Apr 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 192 5,173 0 16 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015