Seuraa
Michael Poli
Michael Poli
Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
4212019
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
2092023
Dissecting neural ODEs
S Massaroli, M Poli, J Park, A Yamashita, H Asama
Advances in Neural Information Processing Systems 33, 2020
2072020
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
1332024
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
782022
Hypersolvers: Toward fast continuous-depth models
M Poli, S Massaroli, A Yamashita, H Asama, J Park
Advances in Neural Information Processing Systems 33, 2020
582020
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
502021
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
442020
TorchDyn: Implicit models and neural numerical methods in PyTorch
M Poli, S Massaroli, A Yamashita, H Asama, J Park, S Ermon
42*
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
382023
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
362023
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
332024
Sequence modeling and design from molecular to genome scale with Evo
E Nguyen, M Poli, MG Durrant, AW Thomas, B Kang, J Sullivan, MY Ng, ...
BioRxiv, 2024.02. 27.582234, 2024
302024
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
252022
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
212021
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
172022
Laughing hyena distillery: Extracting compact recurrences from convolutions
S Massaroli, M Poli, D Fu, H Kumbong, R Parnichkun, D Romero, ...
Advances in Neural Information Processing Systems 36, 2024
162024
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
162019
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
152021
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
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Artikkelit 1–20