Yuhan Helena Liu

According to our database, Yuhan Helena Liu authored at least 7 papers between 2017 and 2024.

Collaborative distances:

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

2024

How Initial Connectivity Shapes Biologically Plausible Learning in Recurrent Neural Networks.

Weixuan Liu, Xinyue Zhang, Yuhan Helena Liu

CoRR, 2024

How connectivity structure shapes rich and lazy learning in neural circuits.

Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs.

James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown

CoRR, 2023

How gradient estimator variance and bias impact learning in neural networks.

Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators.

Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.

Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2017

Information-Theoretic Privacy in Smart Metering Systems Using Cascaded Rechargeable Batteries.

Yuhan Helena Liu, Si-Hyeon Lee, Ashish Khisti

IEEE Signal Process. Lett., 2017