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2Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data
L. Podina, B. Eastman, and M. Kohandel. Proceedings of the 40th International Conference on Machine Learning, volume 202 of Proceedings of Machine Learning Research, page 27948--27956. PMLR, (23--29 Jul 2023)
10 months ago by @adulny
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2End-to-end Symbolic Regression with Transformers
P. Kamienny, S. d'Ascoli, G. Lample, and F. Charton. Advances in Neural Information Processing Systems, (2022)
a year ago by @adulny
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3Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
J. Lee, Y. Lee, J. Kim, A. Kosiorek, S. Choi, and Y. Teh. Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 3744--3753. PMLR, (09--15 Jun 2019)
a year ago by @adulny
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4SymbolicGPT: A Generative Transformer Model for Symbolic Regression
M. Valipour, B. You, M. Panju, and A. Ghodsi. (2021)cite arxiv:2106.14131Comment: 11 pages, 4 figures.
a year ago by @adulny
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1Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
B. Petersen, M. Larma, T. Mundhenk, C. Santiago, S. Kim, and J. Kim. International Conference on Learning Representations, (2021)
a year ago by @adulny
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3Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
S. Welleck, P. West, J. Cao, and Y. Choi. Proceedings of the AAAI Conference on Artificial Intelligence, 36 (8): 8629-8637 (June 2022)
a year ago by @adulny
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3Deep Sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. Salakhutdinov, and A. Smola. (2017)cite arxiv:1703.06114Comment: NIPS 2017.
a year ago by @adulny
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2Discovering governing equations from data by sparse identification of nonlinear dynamical systems
S. Brunton, J. Proctor, and J. Kutz. Proceedings of the National Academy of Sciences, 113 (15): 3932-3937 (2016)
a year ago by @adulny
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2Robust discovery of partial differential equations in complex situations
H. Xu, and D. Zhang. Phys. Rev. Res., 3 (3): 033270 (September 2021)
a year ago by @adulny
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2Symbolic Regression via Control Variable Genetic Programming
N. Jiang, and Y. Xue. (2023)cite arxiv:2306.08057.
a year ago by @adulny
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1Deep Symbolic Regression for Recurrent Sequences
S. d'Ascoli, P. Kamienny, G. Lample, and F. Charton. (2022)cite arxiv:2201.04600.
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3A Unified Framework for Deep Symbolic Regression
M. Landajuela, C. Lee, J. Yang, R. Glatt, C. Santiago, I. Aravena, T. Mundhenk, G. Mulcahy, and B. Petersen. Advances in Neural Information Processing Systems, (2022)
a year ago by @adulny
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2Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
S. Kim, P. Lu, S. Mukherjee, M. Gilbert, L. Jing, V. Čeperić, and M. Soljačić. IEEE Transactions on Neural Networks and Learning Systems, 32 (9): 4166-4177 (2020)
a year ago by @adulny
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4Implicit Neural Representations with Periodic Activation Functions
V. Sitzmann, J. Martel, A. Bergman, D. Lindell, and G. Wetzstein. (2020)cite arxiv:2006.09661Comment: Project website: https://vsitzmann.github.io/siren/ Project video: https://youtu.be/Q2fLWGBeaiI.
a year ago by @adulny
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publications (hide)14
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2Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data

2End-to-end Symbolic Regression with Transformers

3Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

4SymbolicGPT: A Generative Transformer Model for Symbolic Regression

1Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

3Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics

3Deep Sets

2Discovering governing equations from data by sparse identification of nonlinear dynamical systems

2Robust discovery of partial differential equations in complex situations

2Symbolic Regression via Control Variable Genetic Programming

1Deep Symbolic Regression for Recurrent Sequences

3A Unified Framework for Deep Symbolic Regression

2Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery

4Implicit Neural Representations with Periodic Activation Functions

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