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Michael Poli
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Dissecting neural ODEs
S Massaroli, M Poli, J Park, A Yamashita, H Asama
Advances in Neural Information Processing Systems 33, 2020
812020
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
362019
Hypersolvers: Toward fast continuous-depth models
M Poli, S Massaroli, A Yamashita, H Asama, J Park
Advances in Neural Information Processing Systems 33, 2020
292020
Stable neural flows
S Massaroli, M Poli, M Bin, J Park, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
272020
TorchDyn: Implicit models and neural numerical methods in PyTorch
M Poli, S Massaroli, A Yamashita, H Asama, J Park, S Ermon
11*
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
102019
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
62021
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
62021
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
52020
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
32021
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
32021
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
22020
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
12022
Neural solvers for fast and accurate numerical optimal control
F Berto, S Massaroli, M Poli, J Park
International Conference on Learning Representations, ICLR 2022, 2021
12021
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
12021
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
12021
Efficient Continuous Spatio-Temporal Simulation with Graph Spline Networks
C Hua, F Berto, M Poli, S Massaroli, J Park
ICML 2022 2nd AI for Science Workshop, 2022
2022
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
2022
Self-similarity priors: Neural collages as differentiable fractal representations
M Poli, W Xu, S Massaroli, C Meng, K Kim, S Ermon
arXiv preprint arXiv:2204.07673, 2022
2022
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
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