Matthew Ricci

According to our database, Matthew Ricci authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Characterizing Nonlinear Dynamics via Smooth Prototype Equivalences.

Roy Friedman, Noa Moriel, Matthew Ricci, Guy Pelc, Yair Weiss, Mor Nitzan

CoRR, March, 2025

TRENDy: Temporal Regression of Effective Nonlinear Dynamics.

Matthew Ricci, Guy Pelc, Zoe Piran, Noa Moriel, Mor Nitzan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

TRENDy: Temporal Regression of Effective Non-linear Dynamics.

Matthew Ricci, Guy Pelc, Zoe Piran, Noa Moriel, Mor Nitzan

CoRR, 2024

Let's do the time-warp-attend: Learning topological invariants of dynamical systems.

Noa Moriel, Matthew Ricci, Mor Nitzan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning.

Matthew Ricci, Junkyung Kim, Fredrik Johansson

Frontiers Comput. Neurosci., February, 2023

Phase2vec: dynamical systems embedding with a physics-informed convolutional network.

Matthew Ricci, Noa Moriel, Zoe Piran, Mor Nitzan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram.

Charles R. Gallistel, Fredrik Johansson, Dan-Anders Jirenhed, Anders Rasmussen, Matthew Ricci, Germund Hesslow

Frontiers Comput. Neurosci., 2022

2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.

Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

CoRR, 2021

Go with the flow: Adaptive control for Neural ODEs.

Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neural Optimal Control for Representation Learning.

Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre

CoRR, 2020

2018

Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks.

Matthew Ricci, Junkyung Kim, Thomas Serre

CoRR, 2018

Same-different problems strain convolutional neural networks.

Matthew Ricci, Junkyung Kim, Thomas Serre

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018