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Predicting Ordinary Differential Equations with Transformers

Predicting Ordinary Differential Equations with Transformers

24 July 2023
Soren Becker
M. Klein
Alexander Neitz
Giambattista Parascandolo
Niki Kilbertus
ArXivPDFHTML

Papers citing "Predicting Ordinary Differential Equations with Transformers"

13 / 13 papers shown
Title
Grammar-based Ordinary Differential Equation Discovery
Grammar-based Ordinary Differential Equation Discovery
Karin L. Yu
Eleni Chatzi
Georgios Kissas
45
0
0
03 Apr 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang
Md Nasim
Yexiang Xue
29
0
0
02 Sep 2024
Marrying Causal Representation Learning with Dynamical Systems for Science
Marrying Causal Representation Learning with Dynamical Systems for Science
Dingling Yao
Caroline Muller
Francesco Locatello
CML
AI4CE
42
6
0
22 May 2024
Position: Understanding LLMs Requires More Than Statistical
  Generalization
Position: Understanding LLMs Requires More Than Statistical Generalization
Patrik Reizinger
Szilvia Ujváry
Anna Mészáros
A. Kerekes
Wieland Brendel
Ferenc Huszár
36
12
0
03 May 2024
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner
K. Cvejoski
Ramses J. Sanchez
Ramsés J. Sánchez
AI4TS
AI4CE
18
3
0
12 Feb 2024
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
Stéphane d’Ascoli
Soren Becker
Alexander Mathis
Philippe Schwaller
Niki Kilbertus
24
21
0
09 Oct 2023
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified
  Pre-training
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani
Parshin Shojaee
Chandan K. Reddy
A. Farimani
18
18
0
03 Oct 2023
PROSE: Predicting Operators and Symbolic Expressions using Multimodal
  Transformers
PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers
Yuxuan Liu
Zecheng Zhang
Hayden Schaeffer
29
18
0
28 Sep 2023
Stabilized Neural Differential Equations for Learning Dynamics with
  Explicit Constraints
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints
Alistair J R White
Niki Kilbertus
Maximilian Gelbrecht
Niklas Boers
20
6
0
16 Jun 2023
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
37
29
0
06 Jul 2022
GSR: A Generalized Symbolic Regression Approach
GSR: A Generalized Symbolic Regression Approach
Tony Tohme
Dehong Liu
K. Youcef-Toumi
59
14
0
31 May 2022
Inferring the Structure of Ordinary Differential Equations
Inferring the Structure of Ordinary Differential Equations
Juliane Weilbach
S. Gerwinn
Christian Weilbach
M. Kandemir
27
3
0
05 Jul 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
285
2,015
0
28 Jul 2020
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