6 citations · 16 across the 5 of their papers we have counts for
5 papers
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network
Matthew Ricci, Noa Moriel, Zoe Piran +1
Dynamical systems are found in innumerable forms across the physical and biological sciences, yet all these systems fall naturally into universal equivalence classes: conservative…
KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
Matthew Ricci, Minju Jung, Yuwei Zhang +3
Networks of coupled oscillators are some of the most studied objects in the theory of dynamical systems. Two important areas of current interest are the study of synchrony in highl…
Go with the Flow: Adaptive Control for Neural ODEs
Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen +1
Despite their elegant formulation and lightweight memory cost, neural ordinary differential equations (NODEs) suffer from known representational limitations. In particular, the sin…
Same-different problems strain convolutional neural networks
Matthew Ricci, Junkyung Kim, Thomas Serre
The robust and efficient recognition of visual relations in images is a hallmark of biological vision. We argue that, despite recent progress in visual recognition, modern machine…
A Passage-of-time Model of the Cerebellar Purkinje Cell
Matthew Ricci, Junkyung Kim, Fredrik Johansson
The cerebellar Purkinje cell controlling eyeblinks can learn, remember and reproduce the interstimulus interval in a classical conditioning paradigm. Given temporally separated inp…