Jung H. Lee

According to our database, Jung H. Lee authored at least 8 papers between 2013 and 2024.

Collaborative distances:

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

2024

Searching for internal symbols underlying deep learning.

Jung H. Lee, Sujith Vijayan

CoRR, 2024

2023

Editorial: Functional microcircuits in the brain and in artificial intelligent systems.

Jung H. Lee, Yoonsuck Choe, Salva Ardid, Reza Abbasi-Asl, Michelle McCarthy, Brian Hu

Frontiers Comput. Neurosci., February, 2023

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus.

Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge

CoRR, 2023

2021

Adaptive Transfer Learning: a simple but effective transfer learning.

Jung H. Lee, Henry J. Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.

Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning.

Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas

Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2017

A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing.

Jung H. Lee, Christof Koch, Stefan Mihalas

Frontiers Comput. Neurosci., 2017

2013

Top-Down Beta Rhythms Support Selective Attention via Interlaminar Interaction: A Model.

Jung H. Lee, Miles A. Whittington, Nancy J. Kopell

PLoS Comput. Biol., 2013