CKConv: Continuous Kernel Convolution For Sequential Data

CKConv: Continuous Kernel Convolution For Sequential Data

4 February 2021

David W. Romero

Erik J. Bekkers

Jakub M. Tomczak

Mark Hoogendoorn

Papers citing "CKConv: Continuous Kernel Convolution For Sequential Data"

17 / 17 papers shown

Title
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 83 8 0 17 Jan 2025
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu S. H. Lim Michael W. Mahoney N. Benjamin Erichson 38 2 0 02 Oct 2024
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts Hyunsu Kim Yegon Kim Hongseok Yang Juho Lee 37 0 0 05 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 44 2 0 01 Jul 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling Mahdi Karami Ali Ghodsi VLM 40 6 0 28 Feb 2024
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 30 6 0 27 Jul 2023
Focus Your Attention (with Adaptive IIR Filters) Shahar Lutati Itamar Zimerman Lior Wolf 32 9 0 24 May 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling Daniel Y. Fu Elliot L. Epstein Eric N. D. Nguyen A. Thomas Michael Zhang Tri Dao Atri Rudra Christopher Ré 11 51 0 13 Feb 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 24 5 0 12 Dec 2022
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces Eric N. D. Nguyen Karan Goel Albert Gu Gordon W. Downs Preey Shah Tri Dao S. Baccus Christopher Ré VLM 22 38 0 12 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
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 14 296 0 23 Jun 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho F. A. van der Ouderaa David W. Romero Mark van der Wilk 24 33 0 14 Apr 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs Xiaohan Ding X. Zhang Yi Zhou Jungong Han Guiguang Ding Jian-jun Sun VLM 47 525 0 13 Mar 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 16 1,644 0 31 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 80 81 0 15 Oct 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,895 0 06 Jun 2016