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Analyzing Populations of Neural Networks via Dynamical Model Embedding

Analyzing Populations of Neural Networks via Dynamical Model Embedding

27 February 2023
Jordan S. Cotler
Kai Sheng Tai
Felipe Hernández
Blake Elias
David Sussillo
ArXivPDFHTML

Papers citing "Analyzing Populations of Neural Networks via Dynamical Model Embedding"

5 / 5 papers shown
Title
Dynamically Learning to Integrate in Recurrent Neural Networks
Dynamically Learning to Integrate in Recurrent Neural Networks
Blake Bordelon
Jordan Cotler
Cengiz Pehlevan
Jacob A. Zavatone-Veth
53
2
0
24 Mar 2025
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
31
1
0
07 Oct 2024
Computational Dynamical Systems
Computational Dynamical Systems
Jordan S. Cotler
Semon Rezchikov
AI4CE
30
1
0
18 Sep 2024
Fusing finetuned models for better pretraining
Fusing finetuned models for better pretraining
Leshem Choshen
Elad Venezian
Noam Slonim
Yoav Katz
FedML
AI4CE
MoMe
54
87
0
06 Apr 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,684
0
09 Mar 2017
1