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Unitary Evolution Recurrent Neural Networks

20 November 2015

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 403 papers shown

Title
Temporal horizons in forecasting: a performance-learnability trade-off Pau Vilimelis Aceituno Jack William Miller Noah Marti Youssef Farag Victor Boussange AI4TS 106 0 0 04 Jun 2025
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns Jayanta Dey Nicholas Soures Miranda Gonzales Itamar Lerner Christopher Kanan Dhireesha Kudithipudi 23 0 0 31 May 2025
Block-Biased Mamba for Long-Range Sequence Processing Annan Yu N. Benjamin Erichson Mamba 103 0 0 13 May 2025
Can Local Representation Alignment RNNs Solve Temporal Tasks? Nikolay Manchev Luis C. Garcia-Peraza-Herrera AI4TS 117 0 0 18 Apr 2025
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion Qisai Liu Zhanhong Jiang Joshua R. Waite Chao Liu Aditya Balu Soumik Sarkar AI4TS 55 0 0 11 Apr 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning Toshiaki Koike-Akino F. Tonin Yongtao Wu Frank Zhengqing Wu Leyla Naz Candogan Volkan Cevher MQ 209 5 0 07 Mar 2025
Deep learning-based filtering of cross-spectral matrices using generative adversarial networks Christof Puhle GAN 102 0 0 28 Feb 2025
The FFT Strikes Again: An Efficient Alternative to Self-Attention Jacob Fein-Ashley Rajgopal Kannan Viktor Prasanna 132 1 0 25 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 138 13 0 15 Feb 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 281 0 0 28 Jan 2025
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 144 3 0 23 Nov 2024
Deep Loss Convexification for Learning Iterative Models Ziming Zhang Yuping Shao Yiqing Zhang Fangzhou Lin Haichong K. Zhang Elke Rundensteiner 3DPC 96 0 0 16 Nov 2024
Provable Length Generalization in Sequence Prediction via Spectral Filtering Annie Marsden Evan Dogariu Naman Agarwal Xinyi Chen Daniel Suo Elad Hazan 113 1 0 01 Nov 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot 87 15 0 25 Oct 2024
Revealing and Mitigating the Local Pattern Shortcuts of Mamba Wangjie You Zecheng Tang Juntao Li Lili Yao Min Zhang Mamba 56 0 0 21 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 83 2 0 07 Oct 2024
Oscillatory State-Space Models T. Konstantin Rusch Daniela Rus AI4TS 446 9 0 04 Oct 2024
Tuning Frequency Bias of State Space Models Annan Yu Dongwei Lyu Soon Hoe Lim Michael W. Mahoney N. Benjamin Erichson 90 4 0 02 Oct 2024
Were RNNs All We Needed? Leo Feng Frederick Tung Mohamed Osama Ahmed Yoshua Bengio Hossein Hajimirsadegh AI4TS 87 16 1 02 Oct 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 182 6 0 28 Sep 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization Shivang Rawat David J. Heeger Stefano Martiniani 218 1 0 27 Sep 2024
Flash STU: Fast Spectral Transform Units Y. Isabel Liu Windsor Nguyen Yagiz Devre Evan Dogariu Anirudha Majumdar Elad Hazan AI4TS 149 1 0 16 Sep 2024
Optimal Quantum Circuit Design via Unitary Neural Networks M. Zomorodi H. Amini M. Abbaszadeh J. Sohrabi V. Salari P. Plawiak 57 0 0 23 Aug 2024
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models Yang Cao 124 2 0 21 Aug 2024
Sum of Squares Circuits Lorenzo Loconte Stefan Mengel Antonio Vergari TPM 147 9 0 21 Aug 2024
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Harry Jake Cunningham Giorgio Giannone Mingtian Zhang M. Deisenroth 94 1 0 18 Aug 2024
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints Navid Shervani-Tabar Marzieh Alireza Mirhoseini Robert Rosenbaum AAML AI4CE 118 0 0 15 Aug 2024
Long Range Switching Time Series Prediction via State Space Model Jiaming Zhang Yang Ding Yunfeng Gao 81 0 0 27 Jul 2024
Metric Learning for Clifford Group Equivariant Neural Networks Riccardo Ali Paulina Kulyt.e Haitz Sáez de Ocáriz Borde Pietro Lio 63 0 0 13 Jul 2024
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization Jinlong Li Zequn Jie Elisa Ricci Lin Ma N. Sebe VLM 80 1 0 11 Jul 2024
RotRNN: Modelling Long Sequences with Rotations Rares Dolga Kai Biegun Jake Cunningham David Barber 70 4 0 09 Jul 2024
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging Siying Xu Kerstin Hammernik Andreas Lingg Jens Kuebler Patrick Krumm Daniel Rueckert S. Gatidis T. Kuestner 102 1 0 03 Jul 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization Mikhail Gorbunov Nikolay Yudin Vera Soboleva Aibek Alanov Alexey Naumov Maxim Rakhuba 56 2 0 14 Jun 2024
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions Alireza Afzal Aghaei 74 51 0 11 Jun 2024
Riemannian coordinate descent algorithms on matrix manifolds Andi Han Pratik Jawanpuria Bamdev Mishra 130 5 0 04 Jun 2024
OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models Kerim Büyükakyüz AI4CE 71 7 0 03 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems Karn Tiwari N. M. A. Krishnan P. PrathoshA 103 1 0 01 Jun 2024
Recurrent neural networks: vanishing and exploding gradients are not the end of the story Nicolas Zucchet Antonio Orvieto ODL AAML 109 17 0 31 May 2024
Neural Gaussian Scale-Space Fields Felix Mujkanovic Ntumba Elie Nsampi Christian Theobalt Hans-Peter Seidel Thomas Leimkuhler 81 1 0 31 May 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 109 2 0 31 May 2024
WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning Dongwei Lyu R. Nakata Pu Ren Michael W. Mahoney A. Pitarka Nori Nakata N. Benjamin Erichson 139 2 0 30 May 2024
Quantitative Convergences of Lie Group Momentum Optimizers Lingkai Kong Molei Tao 48 2 0 30 May 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 97 6 0 27 May 2024
Input-driven circuit reconfiguration in critical recurrent neural networks.Marcelo O. Magnasco M. Magnasco 50 1 0 23 May 2024
On the dynamics of convolutional recurrent neural networks near their critical point Aditi Chandra M. Magnasco 38 1 0 22 May 2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations Jesus Garcia Fernandez Sander Keemink Marcel van Gerven AAML 97 5 0 14 May 2024
State-Free Inference of State-Space Models: The Transfer Function Approach Rom N. Parnichkun Stefano Massaroli Alessandro Moro Jimmy T.H. Smith Ramin Hasani ... Hajime Asama Stefano Ermon Taiji Suzuki Atsushi Yamashita Michael Poli 83 9 0 10 May 2024
Neural Controlled Differential Equations with Quantum Hidden Evolutions Lingyi Yang Zhen Shao 47 0 0 30 Apr 2024
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges Badri N. Patro Vijay Srinivas Agneeswaran Mamba 113 45 0 24 Apr 2024
MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model Kang Zeng Haowen Shi Jiacheng Lin Siyu Li Jintao Cheng Kaiwei Wang Zhiyong Li Kailun Yang Mamba 76 8 0 19 Apr 2024