Learning Differentiable Logic Programs for Abstract Visual Reasoning

3 July 2023

Papers citing "Learning Differentiable Logic Programs for Abstract Visual Reasoning"

11 / 11 papers shown

Title
Neuro-Symbolic Concepts Jiayuan Mao Joshua B. Tenenbaum Jiajun Wu NAI 12 0 0 09 May 2025
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse D. Dhami Kristian Kersting 33 3 0 15 Oct 2024
EXPIL: Explanatory Predicate Invention for Learning in Games Jingyuan Sha Hikaru Shindo Quentin Delfosse Kristian Kersting D. Dhami 22 1 0 10 Jun 2024
DeiSAM: Segment Anything with Deictic Prompting Hikaru Shindo Manuel Brack Gopika Sudhakaran D. Dhami P. Schramowski Kristian Kersting VLM 24 0 0 21 Feb 2024
Pix2Code: Learning to Compose Neural Visual Concepts as Programs Antonia Wüst Wolfgang Stammer Quentin Delfosse D. Dhami Kristian Kersting 31 13 0 13 Feb 2024
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction Quentin Delfosse Hikaru Shindo D. Dhami Kristian Kersting 14 35 0 02 Jun 2023
Abstract Visual Reasoning Enabled by Language Giacomo Camposampiero Loic Houmard Benjamin Estermann Joël Mathys Roger Wattenhofer LRM 26 12 0 07 Mar 2023
Differentiable Inductive Logic Programming for Structured Examples Hikaru Shindo Masaaki Nishino Akihiro Yamamoto NAI 23 29 0 02 Mar 2021
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 57 232 0 10 Dec 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 127 601 0 05 Mar 2017