Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

16 November 2022

Masha Itkina

Mykel J. Kochenderfer

EDL

UQCV

ArXiv (abs)PDF HTML Github (18★)

Papers citing "Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction"

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Title
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 251 3 0 11 Mar 2025
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 447 1 0 13 Oct 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation Benjamin Stoler Ingrid Navarro Jonathan M Francis Jean Oh AAML 99 4 0 16 Sep 2024
Geospatial Trajectory Generation via Efficient Abduction: Deployment for Independent Testing Divyagna Bavikadi Dyuman Aditya Devendra Parkar Paulo Shakarian Graham Mueller Chad Parvis Gerardo Simari 84 2 0 08 Jul 2024
RedMotion: Motion Prediction via Redundancy Reduction Royden Wagner Omer Sahin Tas Marvin Klemp Carlos Fernandez Lopez Christoph Stiller 148 8 0 19 Jun 2023
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Phil Chen Masha Itkina Ransalu Senanayake Mykel J. Kochenderfer 60 6 0 27 Oct 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes Jongseo Lee Jianxiang Feng Matthias Humt M. Müller Rudolph Triebel UQCV 88 21 0 20 Sep 2021
Multi-Agent Variational Occlusion Inference Using People as Sensors Masha Itkina Ye-Ji Mun Katherine Driggs-Campbell Mykel J. Kochenderfer 81 25 0 05 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 240 1,164 0 07 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty Janis Postels Mattia Segu Tao Sun Luca Sieber Luc Van Gool Feng Yu Federico Tombari UQCV 86 61 0 01 Jul 2021
Interpretable Social Anchors for Human Trajectory Forecasting in Crowds Parth Kothari Brian Sifringer Alexandre Alahi HAI AI4TS 50 60 0 07 May 2021
Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space Marion Neumeier Andreas Tollkühn T. Berberich M. Botsch DRL 35 31 0 25 Mar 2021
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting K. Mangalam Yang An Harshayu Girase Jitendra Malik 51 279 0 02 Dec 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 74 64 0 03 Nov 2020
Attention Augmented ConvLSTM for Environment Prediction Bernard Lange Masha Itkina Mykel J. Kochenderfer 133 21 0 19 Oct 2020
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders Masha Itkina Boris Ivanovic Ransalu Senanayake Mykel J. Kochenderfer Marco Pavone 124 18 0 19 Oct 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians B. Brito Hai Zhu Wei Pan Javier Alonso-Mora 3DH DRL 53 29 0 18 Oct 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 116 559 0 19 Aug 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 83 187 0 26 Jun 2020
Regression Prior Networks A. Malinin Sergey Chervontsev Ivan Provilkov Mark Gales BDL UQCV 71 38 0 20 Jun 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 85 186 0 16 Jun 2020
AMENet: Attentive Maps Encoder Network for Trajectory Prediction Hao Cheng Wentong Liao M. Yang Bodo Rosenhahn Monika Sester 81 46 0 15 Jun 2020
Uncertainty-Aware Deep Classifiers using Generative Models Murat Sensoy Lance M. Kaplan Federico Cerutti Maryam Saleki UQCV OOD 130 75 0 07 Jun 2020
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 107 384 0 23 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 102 670 0 12 Oct 2019
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 103 442 0 07 Oct 2019
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving Florin Leon M. Gavrilescu 63 100 0 17 Sep 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 60 168 0 14 Aug 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 212 728 0 07 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 187 1,706 0 06 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV BDL 70 301 0 04 Jun 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris Kitani D. Gavrila Kai O. Arras 97 736 0 15 May 2019
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning Masha Itkina Katherine Driggs-Campbell Mykel J. Kochenderfer 45 33 0 28 Apr 2019
Deep, spatially coherent Inverse Sensor Models with Uncertainty Incorporation using the evidential Framework Daniel Bauer L. Kuhnert L. Eckstein EDL 43 12 0 29 Mar 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 301 5,790 0 26 Mar 2019
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model Yeping Hu Wei Zhan Liting Sun Masayoshi Tomizuka 60 45 0 22 Mar 2019
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty R. McAllister G. Kahn Jeff Clune Sergey Levine UQCV OOD 76 38 0 27 Dec 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 78 247 0 04 Sep 2018
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 188 1,005 0 05 Jun 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 82 530 0 18 Apr 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 199 923 0 28 Feb 2018
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Apratim Bhattacharyya Mario Fritz Bernt Schiele 84 204 0 24 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 238 5,079 0 02 Nov 2017
Stochastic Variational Video Prediction Mohammad Babaeizadeh Chelsea Finn D. Erhan R. Campbell Sergey Levine DRL VGen 92 543 0 30 Oct 2017
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction Edward Schmerling Karen Leung Wolf Vollprecht Marco Pavone 90 174 0 25 Oct 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 362 4,721 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 179 3,482 0 07 Oct 2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders Jacob Walker Carl Doersch Abhinav Gupta M. Hebert VGen 49 513 0 25 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 155 1,825 0 15 Jun 2016