Neural Relational Inference with Fast Modular Meta-learning

10 October 2023

Tomás Lozano Pérez

Papers citing "Neural Relational Inference with Fast Modular Meta-learning"

37 / 37 papers shown

Title
Diffusion model for relational inference Shuhan Zheng Ziqiang Li Kantaro Fujiwara Gouhei Tanaka DiffM 25 1 0 30 Jan 2024
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents Hemant Kumawat Biswadeep Chakraborty Saibal Mukhopadhyay AI4CE 26 3 0 25 Jan 2024
Learning to Compose SuperWeights for Neural Parameter Allocation Search Piotr Teterwak Soren Nelson Nikoli Dryden D. Bashkirova Kate Saenko Bryan A. Plummer 25 1 0 03 Dec 2023
Inferring Relational Potentials in Interacting Systems Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire M. Sznaier J. Tenenbaum Octavia Camps 32 4 0 23 Oct 2023
A Graph Dynamics Prior for Relational Inference Liming Pan Chengzhi Shi Ivan Dokmanić AI4CE 27 3 0 09 Jun 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng Hanako Hoshino Deva Ramanan Kris M. Kitani 33 13 0 10 May 2023
Collective Relational Inference for learning heterogeneous interactions Zhichao Han Olga Fink David S. Kammer 13 1 0 30 Apr 2023
Neural Attentive Circuits Nasim Rahaman M. Weiß Francesco Locatello C. Pal Yoshua Bengio Bernhard Schölkopf Erran L. Li Nicolas Ballas 24 6 0 14 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 31 0 0 29 Sep 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 36 2 0 22 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 26 27 0 15 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 13 31 0 02 Jul 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning Chenxin Xu Yuxin Wei Bohan Tang Sheng Yin Ya-Qin Zhang Siheng Chen AI4TS AI4CE 32 33 0 27 Jun 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 36 55 0 31 Mar 2022
Important Object Identification with Semi-Supervised Learning for Autonomous Driving Jiachen Li Haiming Gang Hengbo Ma M. Tomizuka Chiho Choi 21 12 0 05 Mar 2022
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach Davide Buffelli Fabio Vandin AI4CE 20 6 0 10 Jan 2022
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 25 53 0 28 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Machine-Learning Non-Conservative Dynamics for New-Physics Detection Ziming Liu Bohan Wang Qi Meng Wei Chen M. Tegmark Tie-Yan Liu PINN AI4CE 9 15 0 31 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire Together Thomas Schumacher 27 4 0 17 May 2021
Neural Relational Inference with Efficient Message Passing Mechanisms Siyuan Chen Jiahai Wang Guoqing Li 18 18 0 23 Jan 2021
A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings Davide Buffelli Fabio Vandin AI4CE 20 14 0 12 Dec 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time Ferran Alet Maria Bauza Kenji Kawaguchi Nurullah Giray Kuru Tomas Lozano-Perez L. Kaelbling AI4CE 24 17 0 22 Sep 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 30 2 0 16 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar D. Fox Animesh Garg CML 16 102 0 01 Jul 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Lowe David Madras R. Zemel Max Welling CML BDL AI4TS 19 126 0 18 Jun 2020
Neural Parameter Allocation Search Bryan A. Plummer Nikoli Dryden Julius Frost Torsten Hoefler Kate Saenko 14 16 0 18 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 11 11 0 15 Jun 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 28 28 0 17 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,927 0 11 Apr 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 11 63 0 11 Mar 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,337 0 12 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016