Liu, Yuhan Helena

7 publications

ICML 2025 Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-Prop as an Example Yuhan Helena Liu, Guangyu Robert Yang, Christopher J Cueva

NeurIPS 2025 Flexible Inference for Animal Learning Rules Using Neural Networks Yuhan Helena Liu, Victor Geadah, Jonathan W. Pillow

ICLR 2024 How Connectivity Structure Shapes Rich and Lazy Learning in Neural Circuits Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Todd SheaBrown, Guillaume Lajoie

NeurIPSW 2024 Multiple Temporal Credit Assignment Rules Achieve Comparable Neural Data Similarity Yuhan Helena Liu, Guangyu Robert Yang, Christopher J Cueva

ICLR 2023 How Gradient Estimator Variance and Bias Impact Learning in Neural Networks Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad Kording, Blake Aaron Richards

NeurIPS 2022 Beyond Accuracy: Generalization Properties of Bio-Plausible Temporal Credit Assignment Rules Yuhan Helena Liu, Arna Ghosh, Blake Richards, Eric Shea-Brown, Guillaume Lajoie

NeurIPS 2022 Biologically-Plausible Backpropagation Through Arbitrary Timespans via Local Neuromodulators Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül