Liquid Time-constant Networks

8 June 2020

Ramin Hasani

Daniela Rus

Papers citing "Liquid Time-constant Networks"

32 / 32 papers shown

Title
Training Environment for High Performance Reinforcement Learning Greg Search AI4CE 27 0 0 04 May 2025
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI Lik Hang Kenny Wong Xueyang Kang Kaixin Bai Jianwei Zhang 56 0 0 01 May 2025
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 44 4 0 04 Oct 2024
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification Erwan Plouet Dédalo Sanz-Hernández A. Vecchiola Julie Grollier F. Mizrahi 49 0 0 05 Aug 2024
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 35 7 0 21 Jun 2024
Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver Hegan Chen Jichang Yang Jia Chen Songqi Wang Shaocong Wang ... Han Wang Dashan Shang Qi Liu Kwang-Ting Cheng Ming-Yu Liu 52 0 0 12 Jun 2024
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System Ayan Banerjee Aranyak Maity Payal Kamboj Sandeep K. S. Gupta 24 5 0 19 May 2024
Liquid-Graph Time-Constant Network for Multi-Agent Systems Control Antonio Marino C. Pacchierotti P. Giordano 40 1 0 22 Apr 2024
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 24 117 0 08 Dec 2023
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE) Raffaele Marino Lorenzo Giambagli Lorenzo Chicchi L. Buffoni Duccio Fanelli 19 7 0 17 Nov 2023
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques Sophie A. Neubauer Radu Grosu 20 0 0 23 Aug 2023
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 35 4 0 04 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 19 3 0 29 Jul 2023
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 27 5 0 08 Jul 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 24 2 0 21 Mar 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 9 0 0 08 Mar 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 22 5 0 21 Dec 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 34 13 0 21 Oct 2022
On the Forward Invariance of Neural ODEs Wei Xiao Tsun-Hsuan Wang Ramin Hasani Mathias Lechner Yutong Ban Chuang Gan Daniela Rus 39 11 0 10 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 46 8 0 04 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 104 95 0 26 Sep 2022
Designing with Non-Finite Output Dimension via Fourier Coefficients of Neural Waveforms Jonathan S. Kent 22 0 0 17 Aug 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 11 4 0 02 Jun 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 25 26 0 04 Mar 2022
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time Bojian Yin Federico Corradi S. Bohté 38 61 0 20 Dec 2021
Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies A. Uthamacumaran S. Elouatik M. Abdouh Michael Berteau-Rainville Zhuqing Gao G. Arena 12 19 0 21 Jul 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 26 17 0 18 Jul 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 26 16 0 24 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 38 34 0 15 Mar 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 38 37 0 08 Mar 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 213 1,897 0 06 Jun 2016