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Michael Poli
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Graph neural ordinary differential equations
M Poli, S Massaroli, J Park, A Yamashita, H Asama, J Park
Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA’20), 2019
3652019
Dissecting neural ODEs
S Massaroli, M Poli, J Park, A Yamashita, H Asama
Advances in Neural Information Processing Systems 33, 2020
1802020
Hyena hierarchy: Towards larger convolutional language models
M Poli, S Massaroli, E Nguyen, DY Fu, T Dao, S Baccus, Y Bengio, ...
International Conference on Machine Learning, 28043-28078, 2023
1072023
Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution
E Nguyen, M Poli, M Faizi, A Thomas, M Wornow, C Birch-Sykes, ...
Advances in neural information processing systems 36, 2024
542024
Monarch: Expressive structured matrices for efficient and accurate training
T Dao, B Chen, N Sohoni, A Desai, M Poli, J Grogan, A Liu, A Rao, ...
arXiv preprint arXiv:2204.00595, 2022
532022
Hypersolvers: Toward fast continuous-depth models
M Poli, S Massaroli, A Yamashita, H Asama, J Park
Advances in Neural Information Processing Systems 33, 2020
502020
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
462020
Which shortcut cues will dnns choose? a study from the parameter-space perspective
L Scimeca, SJ Oh, S Chun, M Poli, S Yun
International Conference on Learning Representations, ICLR 2022, 2021
392021
TorchDyn: Implicit models and neural numerical methods in PyTorch
M Poli, S Massaroli, A Yamashita, H Asama, J Park, S Ermon
34*
Effectively modeling time series with simple discrete state spaces
M Zhang, KK Saab, M Poli, T Dao, K Goel, C Ré
arXiv preprint arXiv:2303.09489, 2023
202023
Differentiable multiple shooting layers
S Massaroli, M Poli, S Sonoda, T Suzuki, J Park, A Yamashita, H Asama
Advances in Neural Information Processing Systems 34, 2021
182021
Port–hamiltonian approach to neural network training
S Massaroli, M Poli, F Califano, A Faragasso, J Park, A Yamashita, ...
2019 IEEE 58th Conference on Decision and Control (CDC), 6799-6806, 2019
152019
Transform Once: Efficient operator learning in frequency domain
M Poli, S Massaroli, F Berto, J Park, T Dao, C Re, S Ermon
ICML 2022 2nd AI for Science Workshop, 2022
142022
Neural ordinary differential equations for intervention modeling
D Gwak, G Sim, M Poli, S Massaroli, J Choo, E Choi
arXiv preprint arXiv:2010.08304, 2020
142020
Deep latent state space models for time-series generation
L Zhou, M Poli, W Xu, S Massaroli, S Ermon
arXiv preprint arXiv:2212.12749, 2022
132022
Optimal energy shaping via neural approximators
S Massaroli, M Poli, F Califano, J Park, A Yamashita, H Asama
SIAM Journal on Applied Dynamical Systems (SIADS), 2021
122021
Neural Hybrid Automata: Learning dynamics with multiple modes and stochastic transitions
M Poli, S Massaroli, L Scimeca, SJ Oh, S Chun, A Yamashita, H Asama, ...
Advances in Neural Information Processing Systems 34, 2021
102021
Monarch mixer: A simple sub-quadratic gemm-based architecture
D Fu, S Arora, J Grogan, I Johnson, ES Eyuboglu, A Thomas, B Spector, ...
Advances in Neural Information Processing Systems 36, 2024
82024
Zoology: Measuring and improving recall in efficient language models
S Arora, S Eyuboglu, A Timalsina, I Johnson, M Poli, J Zou, A Rudra, C Ré
arXiv preprint arXiv:2312.04927, 2023
62023
Learning stochastic optimal policies via gradient descent
S Massaroli, M Poli, S Peluchetti, J Park, A Yamashita, H Asama
IEEE Control Systems Letters 6, 1094-1099, 2021
62021
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Articles 1–20