Yuhan Helena Liu

5 papers · 2022–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

ICLR (2) NeurIPS (2) ICML (1)

Top co-authors

Guillaume Lajoie (3) Arna Ghosh (2) Eric Shea-Brown (2) Stefan Mihalas (2) Eric Todd SheaBrown (1) Blake Aaron Richards (1) Aristide Baratin (1) Christopher J Cueva (1) Stephen Smith (1) Blake Richards (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Deep Learning (2) Interdisciplinary (2) Architectures (2) Core Methods (2) Science (2) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

credit assignment (2) gradient descent (2) recurrent neural network (2) biological plausibility (1) biologically plausible learning (1) weight initialization (1) gradient estimator (1) backpropagation through time (1) lazy learning (1) variance-bias tradeoff (1) neural network initialization (1) generalization property (1) eligibility trace (1) biological neural network (1) connectivity structure (1) rich learning (1) neuromodulator signaling (1) stochastic gradient descent (1) low-rank initialization (1) neuromorphic computing (1)

Papers

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example ICML 2025 How connectivity structure shapes rich and lazy learning in neural circuits ICLR 2024 How gradient estimator variance and bias impact learning in neural networks ICLR 2023 Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules NeurIPS 2022 Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators NeurIPS 2022