Informed Spectral Normalized Gaussian Processes for Trajectory Prediction

18 March 2024

Papers citing "Informed Spectral Normalized Gaussian Processes for Trajectory Prediction"

22 / 22 papers shown

Title
Training, Architecture, and Prior for Deterministic Uncertainty Methods Bertrand Charpentier Chenxiang Zhang Stephan Günnemann UQCV OOD AI4CE 72 7 0 10 Mar 2023
Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting Benjamin Wilson William Qi Tanmay Agarwal John Lambert Jagjeet Singh ... Andrew Hartnett J. K. Pontes Deva Ramanan Peter Carr James Hays 3DPC AI4TS 81 636 0 02 Jan 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 91 43 0 20 May 2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey Julian Wormann Daniel Bogdoll Tobias Gleißner Etienne Buhrle Hang Chen ... Y. Wang Florian Wasserrab Tino Werner Christian Wirth Stefan Zwicklbauer 28 18 0 10 May 2022
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Osama Makansi Julius von Kügelgen Francesco Locatello Peter V. Gehler Dominik Janzing Thomas Brox Bernhard Schölkopf FAtt 53 28 0 11 Oct 2021
An Investigation of Replay-based Approaches for Continual Learning Benedikt Bagus A. Gepperth CLL 59 33 0 15 Aug 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 73 131 0 15 Jul 2021
Kernel Continual Learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek CLL BDL VLM 93 38 0 12 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 68 60 0 01 Jul 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors Mohammadhossein Bahari Ismail Nejjar Alexandre Alahi 57 49 0 08 Mar 2021
On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty Joost R. van Amersfoort Lewis Smith Andrew Jesson Oscar Key Y. Gal UQCV 61 103 0 22 Feb 2021
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 55 59 0 24 Nov 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 142 446 0 17 Jun 2020
Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge Freddy A. Boulton E. Grigore Eric M. Wolff 43 13 0 08 Jun 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 77 285 0 24 Feb 2020
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 81 384 0 23 Nov 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 53 638 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 269 5,705 0 26 Mar 2019
Functional Regularisation for Continual Learning with Gaussian Processes Michalis K. Titsias Jonathan Richard Schwarz A. G. Matthews Razvan Pascanu Yee Whye Teh CLL BDL 61 186 0 31 Jan 2019
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 108 886 0 16 May 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 148 2,879 0 21 Feb 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 311 7,478 0 02 Dec 2016