research

(*) is used to denote equal contribution. Author order determined via coin flips.

2021

  1. NeurIPS WS Spotlight
    Neural Solvers for Fast and Accurate Numerical Optimal Control
    Federico Berto, Stefano Massaroli, Michael Poli, and Jinkyoo Park
    NeurIPS Workshop on the Symbiosis of Deep Learning and Differential Equations (DL-DE) 2021
  2. Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
    Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Michael Poli, and Sangdoo Yun
    Technical Report 2021
  3. L-CSS
    Learning Stochastic Optimal Policies via Gradient Descent
    Stefano Massaroli*, Michael Poli*, Stefano Peluchetti, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    IEEE Control Systems Letters 2021
  4. NeurIPS
    Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
    Michael Poli*, Stefano Massaroli*, Luca Scimeca, Seong Joon Oh, Sanghyuk Chun, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, and Animesh Garg
    Advances in Neural Information Processing Systems, NeurIPS 2021
  5. NeurIPS
    Differentiable Multiple Shooting Layers
    Stefano Massaroli*, Michael Poli*, Sho Sonoda, Taiji Suzuji, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    Advances in Neural Information Processing Systems, NeurIPS 2021
  6. Optimal Energy Shaping via Neural Approximators
    Stefano Massaroli*, Michael Poli*, Federico Califano, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    arXiv preprint arXiv:2101.05537 2021

2020

  1. NeurIPS Oral [1%]
    Dissecting Neural ODEs
    Stefano Massaroli*, Michael Poli*, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    Advances in Neural Information Processing Systems, NeurIPS 2020
  2. Neural Ordinary Differential Equations for Intervention Modeling
    Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, and Edward Choi
    arXiv preprint arXiv:2010.08304 2020
  3. NeurIPS
    Hypersolvers: Toward Fast Continuous-Depth Models
    Michael Poli*, Stefano Massaroli*, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, and others
    Advances in Neural Information Processing Systems, NeurIPS 2020
  4. ICLR WS
    Continuous-Depth Value Networks For Parametrized Actions
    Stefano Massaroli*, Michael Poli*, Sanzhar Bakhtiyarov, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    ICLR Workshop on Integration of Deep Neural Models and Differential Equations 2020
  5. ICLR WS
    Port-Hamiltonian Gradient Flows
    Michael Poli*, Stefano Massaroli*, Atsushi Yamashita, Hajime Asama, and Jinkyoo Park
    ICLR Workshop on Integration of Deep Neural Models and Differential Equations 2020
  6. IJCAI
    WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
    Michael Poli, Jinkyoo Park, and Ilija Ilievski
    International Joint Conferences on Artificial Intelligence, IJCAI 2020
  7. Stable Neural Flows
    Stefano Massaroli*, Michael Poli*, Michelangelo Bin, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    Technical Report 2020
  8. TorchDyn: Implicit Models and Neural Numerical Methods in PyTorch
    Michael Poli*, Stefano Massaroli*, Atsushi Yamashita, Hajime Asama, Jinkyoo Park, and Stefano Ermon
    Technical Report 2020

2019

  1. AAAI WS
    Neural Graph Differential Equations
    Michael Poli*, Stefano Massaroli*, Junyoung Park, Atsushi Yamashita, Hajime Asama, and Jinkyoo Park
    International Workshop on Deep Learning on Graphs, DLGMA 2019
  2. CDC
    Port–Hamiltonian Approach to Neural Network Training
    Stefano Massaroli*, Michael Poli*, Federico Califano, Angela Faragasso, Jinkyoo Park, Atsushi Yamashita, and Hajime Asama
    IEEE Conference on Decision and Control, CDC 2019