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Yuhan Helena Liu
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2020 – today
- 2024
- [c4]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 - 2023
- [c3]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 - [i4]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 abs/2310.08513 (2023) - [i3]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 abs/2311.10869 (2023) - 2022
- [c2]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 - [c1]Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS 2022 - [i2]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 abs/2206.00823 (2022) - [i1]Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR abs/2206.01338 (2022)
2010 – 2019
- 2017
- [j1]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): 314-318 (2017)
Coauthor Index
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