ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.11188
  4. Cited By
Can recurrent neural networks warp time?

Can recurrent neural networks warp time?

23 March 2018
Corentin Tallec
Yann Ollivier
    CLL
    AI4CE
ArXivPDFHTML

Papers citing "Can recurrent neural networks warp time?"

28 / 28 papers shown
Title
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
51
0
0
01 May 2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
Olaya Álvarez-Tunón
Yury Brodskiy
Erdal Kayacan
73
6
0
04 Mar 2025
State-space models are accurate and efficient neural operators for dynamical systems
State-space models are accurate and efficient neural operators for dynamical systems
Zheyuan Hu
Nazanin Ahmadi Daryakenari
Qianli Shen
Kenji Kawaguchi
George Karniadakis
Mamba
AI4CE
72
11
0
28 Jan 2025
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
151
0
0
28 Oct 2024
Modular Growth of Hierarchical Networks: Efficient, General, and Robust
  Curriculum Learning
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
Mani Hamidi
Sina Khajehabdollahi
E. Giannakakis
Tim Schäfer
Anna Levina
Charley M. Wu
38
0
0
10 Jun 2024
End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier
  Models
End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models
Lauri Juvela
Eero-Pekka Damskägg
Aleksi Peussa
Jaakko Mäkinen
Thomas W. Sherson
S. I. Mimilakis
Athanasios Gotsopoulos
26
11
0
13 Mar 2024
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
59
25
0
29 Feb 2024
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
43
5
0
06 Apr 2023
Time-Warping Invariant Quantum Recurrent Neural Networks via
  Quantum-Classical Adaptive Gating
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating
I. Nikoloska
Osvaldo Simeone
L. Banchi
Petar Velickovic
GNN
31
3
0
19 Jan 2023
Learnable Commutative Monoids for Graph Neural Networks
Learnable Commutative Monoids for Graph Neural Networks
Euan Ong
Petar Velickovic
18
12
0
16 Dec 2022
Circling Back to Recurrent Models of Language
Circling Back to Recurrent Models of Language
Gábor Melis
37
0
0
03 Nov 2022
A Probabilistic Interpretation of Transformers
A Probabilistic Interpretation of Transformers
Alexander Shim
38
1
0
28 Apr 2022
Task-Synchronized Recurrent Neural Networks
Task-Synchronized Recurrent Neural Networks
Mantas Lukovsevivcius
Arnas Uselis
AI4TS
28
2
0
11 Apr 2022
Path sampling of recurrent neural networks by incorporating known
  physics
Path sampling of recurrent neural networks by incorporating known physics
Sun-Ting Tsai
Eric C. Fields
Yijia Xu
En-Jui Kuo
P. Tiwary
AI4CE
PINN
13
24
0
01 Mar 2022
Noether Networks: Meta-Learning Useful Conserved Quantities
Noether Networks: Meta-Learning Useful Conserved Quantities
Ferran Alet
Dylan D. Doblar
Allan Zhou
J. Tenenbaum
Kenji Kawaguchi
Chelsea Finn
73
26
0
06 Dec 2021
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Attention to Warp: Deep Metric Learning for Multivariate Time Series
Shinnosuke Matsuo
Xiaomeng Wu
Gantugs Atarsaikhan
Akisato Kimura
K. Kashino
Brian Kenji Iwana
S. Uchida
AI4TS
26
3
0
28 Mar 2021
Recurrent neural circuits for contour detection
Recurrent neural circuits for contour detection
Drew Linsley
Junkyung Kim
A. Ashok
Thomas Serre
11
45
0
29 Oct 2020
Multi-timescale Representation Learning in LSTM Language Models
Multi-timescale Representation Learning in LSTM Language Models
Shivangi Mahto
Vy A. Vo
Javier S. Turek
Alexander G. Huth
15
29
0
27 Sep 2020
Kernel-Based Approaches for Sequence Modeling: Connections to Neural
  Methods
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
Kevin J Liang
Guoyin Wang
Yitong Li
Ricardo Henao
Lawrence Carin
27
2
0
09 Oct 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei-Yue Wang
AI4CE
29
68
0
18 Aug 2019
Temporal Transformer Networks: Joint Learning of Invariant and
  Discriminative Time Warping
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
Suhas Lohit
Qiao Wang
P. Turaga
ViT
11
56
0
13 Jun 2019
Disentangling neural mechanisms for perceptual grouping
Disentangling neural mechanisms for perceptual grouping
Junkyung Kim
Drew Linsley
Kalpit C. Thakkar
Thomas Serre
OCL
23
54
0
04 Jun 2019
Improving Minimal Gated Unit for Sequential Data
Improving Minimal Gated Unit for Sequential Data
Kazuki Takamura
S. Yamane
14
0
0
21 May 2019
Towards Non-saturating Recurrent Units for Modelling Long-term
  Dependencies
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
A. Chandar
Chinnadhurai Sankar
Eugene Vorontsov
Samira Ebrahimi Kahou
Yoshua Bengio
21
56
0
22 Jan 2019
NeuralWarp: Time-Series Similarity with Warping Networks
NeuralWarp: Time-Series Similarity with Warping Networks
Josif Grabocka
Lars Schmidt-Thieme
AI4TS
21
29
0
20 Dec 2018
Few-Shot Generalization Across Dialogue Tasks
Few-Shot Generalization Across Dialogue Tasks
Vladimir Vlasov
Akela Drissner-Schmid
Alan Nichol
13
33
0
28 Nov 2018
Robust neural circuit reconstruction from serial electron microscopy
  with convolutional recurrent networks
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley
Junkyung Kim
D. Berson
Thomas Serre
3DV
30
17
0
28 Nov 2018
ORGaNICs: A Theory of Working Memory in Brains and Machines
ORGaNICs: A Theory of Working Memory in Brains and Machines
D. Heeger
Wayne E. Mackey
20
7
0
16 Mar 2018
1