Causal Navigation by Continuous-time Neural Networks

15 June 2021

Ramin Hasani

Daniela Rus

Papers citing "Causal Navigation by Continuous-time Neural Networks"

27 / 27 papers shown

Title
Trajectory Flow Matching with Applications to Clinical Time Series Modeling Xi Zhang Yuan Pu Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong OOD AI4TS MedIm 23 2 0 28 Oct 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology Matteo Salvador Alison L. Marsden AI4CE 27 1 0 19 Aug 2024
Back to Newton's Laws: Learning Vision-based Agile Flight via Differentiable Physics Yuang Zhang Yu Hu Yunlong Song Danping Zou Weiyao Lin 36 17 0 15 Jul 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 29 6 0 21 Jun 2024
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference? Mónika Farsang Mathias Lechner David Lung Ramin Hasani Daniela Rus Radu Grosu 21 4 0 21 Nov 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 27 0 0 05 Oct 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 18 0 0 23 Aug 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 19 3 0 25 May 2023
A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians Sara Casao A. Otero Álvaro Serra-Gómez Ana C. Murillo Javier Alonso-Mora Eduardo Montijano VGen 102 2 0 14 Apr 2023
Infrastructure-based End-to-End Learning and Prevention of Driver Failure Noam Buckman Shiva Sreeram Mathias Lechner Yutong Ban Ramin Hasani S. Karaman Daniela Rus 19 2 0 21 Mar 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 29 41 0 13 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 16 12 0 01 Feb 2023
Towards Cooperative Flight Control Using Visual-Attention Lianhao Yin Makram Chahine Tsun-Hsuan Wang Tim Seyde Chao Liu Mathias Lechner Ramin Hasani Daniela Rus 11 4 0 21 Dec 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 28 12 0 21 Oct 2022
Interpreting Neural Policies with Disentangled Tree Representations Tsun-Hsuan Wang Wei Xiao Tim Seyde Ramin Hasani Daniela Rus DRL 19 2 0 13 Oct 2022
On the Forward Invariance of Neural ODEs Wei Xiao Tsun-Hsuan Wang Ramin Hasani Mathias Lechner Yutong Ban Chuang Gan Daniela Rus 31 11 0 10 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap Mathias Lechner Ramin Hasani Alexander Amini Tsun-Hsuan Wang T. Henzinger Daniela Rus CML OOD 21 7 0 09 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 97 95 0 26 Sep 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 6 4 0 02 Jun 2022
BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao Ramin Hasani Xiao Li Daniela Rus 21 19 0 22 Nov 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 18 17 0 18 Jul 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 23 82 0 25 Jun 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 11 16 0 24 Jun 2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer Luigi Berducci Andreas Brandstätter Mathias Lechner Ramin Hasani Daniela Rus Radu Grosu LM&Ro 25 37 0 08 Mar 2021
On The Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher Ramin Hasani Mathias Lechner J. Cyranka S. Smolka Radu Grosu 66 31 0 16 Dec 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 128 118 0 06 Mar 2020
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 68 101 0 09 Aug 2014