DIDER: Discovering Interpretable Dynamically Evolving Relations

22 August 2022

Papers citing "DIDER: Discovering Interpretable Dynamically Evolving Relations"

11 / 11 papers shown

Title
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 101 57 0 10 Oct 2023
SKID RAW: Skill Discovery from Raw Trajectories Daniel Tanneberg Kai Ploeger Elmar Rueckert Jan Peters 60 29 0 26 Mar 2021
GRIT: Fast, Interpretable, and Verifiable Goal Recognition with Learned Decision Trees for Autonomous Driving Cillian Brewitt Bálint Gyevnár Samuel Garcin Stefano V. Albrecht 67 30 0 10 Mar 2021
Learning Robot Skills with Temporal Variational Inference Tanmay Shankar Abhinav Gupta DRL BDL 67 75 0 29 Jun 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 93 131 0 18 Jun 2020
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks Donsuk Lee Yiming Gu Jerrick Hoang Micol Marchetti-Bowick GNN 38 38 0 17 Dec 2019
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections Julian Bock R. Krajewski Tobias Moers Steffen Runde Lennart Vater L. Eckstein AI4TS 57 363 0 18 Nov 2019
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 76 242 0 31 Mar 2018
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 310 5,364 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 182 2,530 0 02 Nov 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 112 398 0 24 May 2016