Making sense of sensory input

5 October 2019

Papers citing "Making sense of sensory input"

28 / 28 papers shown

Title
An Empirical Comparison of Cost Functions in Inductive Logic Programming Céline Hocquette Andrew Cropper 52 0 0 10 Mar 2025
Visual Graph Question Answering with ASP and LLMs for Language Parsing Jakob Johannes Bauer Thomas Eiter Nelson Higuera Ruiz J. Oetsch GNN 59 0 0 13 Feb 2025
Relational decomposition for program synthesis Céline Hocquette Andrew Cropper 34 4 0 22 Aug 2024
Variable Assignment Invariant Neural Networks for Learning Logic Programs Yin Jun Phua Katsumi Inoue 19 0 0 20 Aug 2024
Learning big logical rules by joining small rules Céline Hocquette Andreas Niskanen Rolf Morel Matti Jarvisalo Andrew Cropper 24 1 0 29 Jan 2024
Learning MDL logic programs from noisy data Céline Hocquette Andreas Niskanen Matti Jarvisalo Andrew Cropper NoLa 25 6 0 18 Aug 2023
Learning logic programs by discovering higher-order abstractions Céline Hocquette Sebastijan Dumancic Andrew Cropper 14 2 0 16 Aug 2023
A Recursive Bateson-Inspired Model for the Generation of Semantic Formal Concepts from Spatial Sensory Data Jaime de Miguel-Rodríguez Fernando Sancho-Caparrini 14 0 0 16 Jul 2023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training Emanuele Sansone Robin Manhaeve BDL FedML GAN 19 5 0 22 Apr 2023
Relational program synthesis with numerical reasoning Céline Hocquette Andrew Cropper ReCod NAI 26 2 0 03 Oct 2022
Learning programs with magic values Céline Hocquette Andrew Cropper 25 3 0 05 Aug 2022
Language-Based Causal Representation Learning Blai Bonet Hector Geffner 27 0 0 12 Jul 2022
Learning logic programs by combining programs Andrew Cropper Céline Hocquette AI4CE 10 7 0 01 Jun 2022
Learning logic programs by discovering where not to search Andrew Cropper Céline Hocquette LRM 17 0 0 20 Feb 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 22 28 0 10 Feb 2022
The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence Michael Timothy Bennett Yoshihiro Maruyama AI4CE 24 2 0 05 Oct 2021
Learning logic programs through divide, constrain, and conquer Andrew Cropper AI4CE 24 4 0 16 Sep 2021
Parallel Constraint-Driven Inductive Logic Programming Andrew Cropper Oghenejokpeme I. Orhobor Cristian-Mircea Dinu Rolf Morel 14 0 0 15 Sep 2021
Adapting the Function Approximation Architecture in Online Reinforcement Learning John D. Martin Joseph Modayil 18 2 0 17 Jun 2021
Predicate Invention by Learning From Failures Andrew Cropper Rolf Morel 11 12 0 29 Apr 2021
Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI Michael Timothy Bennett Y. Maruyama 14 3 0 23 Apr 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 41 82 0 02 Mar 2021
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 13 161 0 22 Feb 2021
Inductive logic programming at 30 Andrew Cropper Sebastijan Dumancic Richard Evans Stephen Muggleton AI4CE 25 75 0 21 Feb 2021
Learning logic programs by explaining their failures Rolf Morel Andrew Cropper LRM 13 2 0 18 Feb 2021
Abductive Knowledge Induction From Raw Data Wang-Zhou Dai Stephen Muggleton 24 46 0 07 Oct 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 20 4 0 09 Jul 2020
Learning programs by learning from failures Andrew Cropper Rolf Morel 21 87 0 05 May 2020