Michael Poli
Title
Cited by
Cited by
Year
Dissecting Neural ODEs
S Massaroli, M Poli, J Park, A Yamashita, H Asama
Advances in Neural Information Processing Systems 33, 2020
412020
Stable Neural Flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
212020
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
122019
Hypersolvers: Toward Fast Continuous-Depth Models
M Poli, S Massaroli, A Yamashita, H Asama, J Park
Advances in Neural Information Processing Systems 33, 2020
112020
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
92019
TorchDyn: A Neural Differential Equations Library
M Poli, S Massaroli, A Yamashita, H Asama, J Park
arXiv preprint arXiv:2009.09346, 2020
62020
Learning Stochastic Optimal Policies via Gradient Descent
S Massaroli, M Poli, S Peluchetti, J Park, A Yamashita, H Asama
IEEE Control Systems Letters, 2021
12021
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
12020
Continuous-Depth Neural Models for Dynamic Graph Prediction
M Poli, S Massaroli, CM Rabideau, J Park, A Yamashita, H Asama, J Park
arXiv preprint arXiv:2106.11581, 2021
2021
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, ...
arXiv preprint arXiv:2106.04165, 2021
2021
Differentiable Multiple Shooting Layers
S Massaroli, M Poli, S Sonoda, T Suzuki, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2106.03885, 2021
2021
Optimal Energy Shaping via Neural Approximators
S Massaroli, M Poli, F Califano, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2101.05537, 2021
2021
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
M Poli, J Park, I Ilievski
29th International Joint Conference on Artificial Intelligence (IJCAI), 2020
2020
Continuous–Depth Value Networks for Parametrized Actions
S Massaroli, M Poli, S Bakhtiyarov, A Yamashita, H Asama, J Park
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
2020
Port-Hamiltonian Gradient Flows
M Poli, S Massaroli, A Yamashita, H Asama, J Park
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
2020
A system–theoretic perspective on continuous–depth deep learning (지속적인 심층 학습에 대한 시스템-이론적 관점)
M Poli
한국과학기술원, 2020
2020
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Articles 1–16