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Stefano Massaroli
Stefano Massaroli
Mila, University of Montreal
Verified email at mila.quebec
Title
Cited by
Cited by
Year
Graph Neural Ordinary Differential Equations
M Poli, S Massaroli, J Park, H Asama, A Yamashita, J Park
arXiv preprint arXiv:1911.07532, 2019
3172019
Dissecting Neural ODEs
S Massaroli, M Poli, P Jinkyoo, A Yamashita, H Asama
Advances in Neural Information Processing Systems 34, 2020
1762020
Hyena hierarchy: Towards larger convolutional language models
M Poli, S Massaroli, E Nguyen, DY Fu, T Dao, S Baccus, Y Bengio, ...
arXiv preprint arXiv:2302.10866, 2023
952023
Hypersolvers: Toward Fast Continuous-Depth Models
M Poli, S Massaroli, A Yamashita, H Asama, J Park
Advances in Neural Information Processing Systems 34, 2020
512020
Stable Neural Flows
S Massaroli, M Poli, M Bin, P Jinkyoo, A Yamashita, H Asama
arXiv preprint arXiv:2003.08063, 2020
452020
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
412024
Torchdyn: A neural differential equations library
M Poli, S Massaroli, A Yamashita, H Asama, J Park
arXiv preprint arXiv:2009.09346, 2020
242020
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, 16532-16544, 2021
182021
Pedestrian trajectory prediction using BiRNN encoder–decoder framework
J Wu, H Woo, Y Tamura, A Moro, S Massaroli, A Yamashita, H Asama
Advanced Robotics 33 (18), 956-969, 2019
172019
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 Ré, S Ermon
Advances in Neural Information Processing Systems 35, 7947-7959, 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
132020
Deep latent state space models for time-series generation
L Zhou, M Poli, W Xu, S Massaroli, S Ermon
International Conference on Machine Learning, 42625-42643, 2023
112023
Optimal energy shaping via neural approximators
S Massaroli, M Poli, F Califano, J Park, A Yamashita, H Asama
SIAM Journal on Applied Dynamical Systems 21 (3), 2126-2147, 2022
112022
Neural hybrid automata: Learning dynamics with multiple modes and stochastic transitions
M Poli, S Massaroli, L Scimeca, S Chun, SJ Oh, A Yamashita, H Asama, ...
Advances in Neural Information Processing Systems 34, 9977-9989, 2021
102021
TorchDyn: implicit models and neural numerical methods in PyTorch
M Poli, S Massaroli, A Yamashita, H Asama, J Park, S Ermon
Neural Information Processing Systems, Workshop on Physical Reasoning and …, 2021
72021
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
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
62020
Neural solvers for fast and accurate numerical optimal control
F Berto, S Massaroli, M Poli, J Park
arXiv preprint arXiv:2203.08072, 2022
52022
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
52021
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