Yuhan Helena Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Backpropagation Neural Network

Backpropagation Algorithm

Top Venues

IEEE Signal Process. Lett.

Publications

Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
How connectivity structure shapes rich and lazy learning in neural circuits. ICLR (2024)
Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards
How gradient estimator variance and bias impact learning in neural networks. ICLR (2023)
James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. CoRR (2023)
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie
How connectivity structure shapes rich and lazy learning in neural circuits. CoRR (2023)
Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. CoRR (2022)
Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. NeurIPS (2022)
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR (2022)
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS (2022)
Yuhan Helena Liu, Si-Hyeon Lee, Ashish Khisti
Information-Theoretic Privacy in Smart Metering Systems Using Cascaded Rechargeable Batteries. IEEE Signal Process. Lett. 24 (3) (2017)