Relational inductive bias for physical construction in humans and machines

4 June 2018

Papers citing "Relational inductive bias for physical construction in humans and machines"

50 / 64 papers shown

Title
Open-Book Neural Algorithmic Reasoning Hefei Li Chao Peng Chenyang Xu Zhengfeng Yang LRM 51 0 0 03 Jan 2025
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio 31 0 0 19 Oct 2024
Neural Symbolic Regression of Complex Network Dynamics Haiquan Qiu Shuzhi Liu Quanming Yao 32 1 0 15 Oct 2024
NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms Efimia Panagiotaki D. Martini Lars Kunze Petar Veličković 3DPC 28 0 0 14 Oct 2024
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks Zepeng Zhang Olga Fink GNN 37 1 0 05 Aug 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations Luis Piloto Sofia Liguori Sephora Madjiheurem M. Zgubič Sean Lovett Hamish Tomlinson Sophie Elster Chris Apps Sims Witherspoon 25 8 0 26 Mar 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde Meng Liu Alexandra Saxton Shuiwang Ji OOD 40 8 0 07 Mar 2024
Discrete Neural Algorithmic Reasoning Gleb Rodionov Liudmila Prokhorenkova OOD NAI 42 3 0 18 Feb 2024
The Deep Equilibrium Algorithmic Reasoner Dobrik Georgiev Pietro Lió Davide Buffelli 96 0 0 09 Feb 2024
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge Konstantinos Zacharopoulos Georgios Koutroumpas Ioannis Arapakis Konstantinos Georgopoulos Javad Khangosstar Sotiris Ioannidis GNN 18 0 0 08 Feb 2024
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time? Kyung Geun Kim Byeong Tak Lee AI4TS 19 0 0 29 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Neural Priority Queues for Graph Neural Networks Rishabh Jain Petar Velivcković Pietro Lio GNN 32 5 0 18 Jul 2023
Asynchronous Algorithmic Alignment with Cocycles Andrew Dudzik Tamara von Glehn Razvan Pascanu Petar Velivcković 26 9 0 27 Jun 2023
Neural Algorithmic Reasoning for Combinatorial Optimisation Dobrik Georgiev Danilo Numeroso D. Bacciu Pietro Lio NAI 27 14 0 18 May 2023
Feudal Graph Reinforcement Learning Tommaso Marzi Arshjot Khehra Andrea Cini Cesare Alippi 24 0 0 11 Apr 2023
Dual Algorithmic Reasoning Danilo Numeroso D. Bacciu Petar Velickovic 35 18 0 09 Feb 2023
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022
A Generalist Neural Algorithmic Learner Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 32 53 0 22 Sep 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 21 4 0 15 Sep 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 163 88 0 31 May 2022
Learning heuristics for A* Danilo Numeroso Davide Bacciu Petar Velickovic 13 0 0 11 Apr 2022
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning H. Chung Jungtaek Kim Boris Knyazev Jinhwi Lee Graham W. Taylor Jaesik Park Minsu Cho SSL OffRL 18 20 0 29 Oct 2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes Alex X. Lee Coline Devin Yuxiang Zhou Thomas Lampe Konstantinos Bousmalis ... Stefano Saliceti Federico Casarini Martin Riedmiller R. Hadsell F. Nori OffRL 30 99 0 12 Oct 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 16 224 0 25 Aug 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 13 15 0 19 Jul 2021
Algorithmic Concept-based Explainable Reasoning Dobrik Georgiev Pietro Barbiero Dmitry Kazhdan Petar Velivcković Pietro Lió 72 16 0 15 Jul 2021
Active Learning of Abstract Plan Feasibility Michael Noseworthy Caris Moses Isa Brand Sebastian Castro L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 25 22 0 01 Jul 2021
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling R. Kopparti Tillman Weyde 29 0 0 10 Mar 2021
Persistent Message Passing Heiko Strathmann M. Barekatain Charles Blundell Petar Velickovic 33 15 0 01 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 255 0 09 Dec 2020
A step towards neural genome assembly Lovro Vrček Petar Velickovic M. Šikić GNN 17 5 0 10 Nov 2020
Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks and Autoregressive Policy Decomposition Jaromír Janisch Tomávs Pevný Viliam Lisý AI4CE 8 3 0 25 Sep 2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation Jyoti Narwariya Pankaj Malhotra T. Vishnu L. Vig Gautam M. Shroff AI4CE 21 21 0 30 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 16 155 0 22 Jun 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 24 62 0 11 Jun 2020
Neural Bipartite Matching Dobrik Georgiev Pietro Lió 11 22 0 22 May 2020
Symbolic Pregression: Discovering Physical Laws from Distorted Video S. Udrescu Max Tegmark 18 40 0 19 May 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 27 651 0 12 Apr 2020
SpatialSim: Recognizing Spatial Configurations of Objects with Graph Neural Networks Laetitia Teodorescu Katja Hofmann Pierre-Yves Oudeyer 16 1 0 09 Apr 2020
Learning to simulate and design for structural engineering Kai-Hung Chang Chin-Yi Cheng AI4CE 35 49 0 20 Mar 2020
World Programs for Model-Based Learning and Planning in Compositional State and Action Spaces Marwin H. S. Segler 25 4 0 30 Dec 2019
Learning Domain-Independent Planning Heuristics with Hypergraph Networks William Shen Felipe W. Trevizan Sylvie Thiébaux 16 83 0 29 Nov 2019
Neural Execution of Graph Algorithms Petar Velickovic Rex Ying Matilde Padovano R. Hadsell Charles Blundell GNN 28 163 0 23 Oct 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 21 37 0 30 Sep 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 31 108 0 22 Jul 2019