CKConv: Continuous Kernel Convolution For Sequential Data

4 February 2021

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

29 / 29 papers shown

Title
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 93 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 47 3 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 42 1 0 05 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 52 2 0 01 Jul 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling Mahdi Karami Ali Ghodsi VLM 48 6 0 28 Feb 2024
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 27 5 0 06 Aug 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 38 6 0 27 Jul 2023
Focus Your Attention (with Adaptive IIR Filters) Shahar Lutati Itamar Zimerman Lior Wolf 32 9 0 24 May 2023
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels Alexander Moreno Jonathan Mei Luke Walters 23 0 0 15 May 2023
SMPConv: Self-moving Point Representations for Continuous Convolution Sanghyeon Kim Eunbyung Park 3DPC 36 13 0 05 Apr 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 16 52 0 13 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation Matthias Bauer Emilien Dupont Andy Brock Dan Rosenbaum Jonathan Richard Schwarz Hyunjik Kim DiffM 36 35 0 06 Feb 2023
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 36 6 0 12 Dec 2022
QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression Kevin Doherty Cooper Simpson Stephen Becker Alireza Doostan 28 7 0 09 Nov 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 39 0 12 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 61 119 0 30 Sep 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 96 0 26 Sep 2022
Mega: Moving Average Equipped Gated Attention Xuezhe Ma Chunting Zhou Xiang Kong Junxian He Liangke Gui Graham Neubig Jonathan May Luke Zettlemoyer 33 183 0 21 Sep 2022
On the Parameterization and Initialization of Diagonal State Space Models Albert Gu Ankit Gupta Karan Goel Christopher Ré 19 298 0 23 Jun 2022
Towards a General Purpose CNN for Long Range Dependencies in $N$ D David W. Romero David M. Knigge Albert Gu Erik J. Bekkers E. Gavves Jakub M. Tomczak Mark Hoogendoorn 24 19 0 07 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
Path Development Network with Finite-dimensional Lie Group Representation Han Lou Siran Li Hao Ni 18 7 0 02 Apr 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs Xiaohan Ding Xinming Zhang Yi Zhou Jungong Han Guiguang Ding Jian Sun VLM 49 528 0 13 Mar 2022
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 52 1,665 0 31 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 21 27 0 19 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn Jan van Gemert 80 82 0 15 Oct 2021
Neural Waveshaping Synthesis B. Hayes C. Saitis Gyorgy Fazekas 36 28 0 11 Jul 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks L. Kozachkov Michaela Ennis Jean-Jacques E. Slotine 22 18 0 16 Jun 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 219 1,900 0 06 Jun 2016