Same-different problems strain convolutional neural networks. - Matthew Ricci; Junkyung Kim; Thomas Serre (CogSci, 2018)

Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks. - Matthew Ricci; Junkyung Kim; Thomas Serre (CoRR, 2018)

Neural Optimal Control for Representation Learning. - Mathieu Chalvidal; Matthew Ricci; Rufin VanRullen; Thomas Serre (CoRR, 2020)

Go with the flow: Adaptive control for Neural ODEs. - Mathieu Chalvidal; Matthew Ricci; Rufin VanRullen; Thomas Serre (ICLR, 2021)

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. - Matthew Ricci; Minju Jung; Yuwei Zhang 001; Mathieu Chalvidal; Aneri Soni; Thomas Serre (CoRR, 2021)

Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram. - Charles R. Gallistel; Fredrik Johansson 003; Dan-Anders Jirenhed; Anders Rasmussen; Matthew Ricci; Germund Hesslow (Frontiers Comput. Neurosci., 2022)

Phase2vec: dynamical systems embedding with a physics-informed convolutional network. - Matthew Ricci; Noa Moriel; Zoe Piran; Mor Nitzan (ICLR, 2023)

A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning. - Matthew Ricci; Junkyung Kim; Fredrik Johansson 003 (Frontiers Comput. Neurosci., 2023)

Let's do the time-warp-attend: Learning topological invariants of dynamical systems. - Noa Moriel; Matthew Ricci; Mor Nitzan (ICLR, 2024)

TRENDy: Temporal Regression of Effective Non-linear Dynamics. - Matthew Ricci; Guy Pelc; Zoe Piran; Noa Moriel; Mor Nitzan (CoRR, 2024)

TRENDy: Temporal Regression of Effective Nonlinear Dynamics. - Matthew Ricci; Guy Pelc; Zoe Piran; Noa Moriel; Mor Nitzan (ICLR, 2025)

Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences. - Roy Friedman; Noa Moriel; Matthew Ricci; Guy Pelc; Yair Weiss; Mor Nitzan (CoRR, 2025)