Lachlan Ewen MacDonald

3 papers · 2023–2025 · 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) ❓ The Questioner

Venues

AISTATS (1) CVPR (1) ICML (1)

Top co-authors

Simon Lucey (2) Enrique Mallada (1) Salma Tarmoun (1) Hancheng Min (1) Hemanth Saratchandran (1) Chaoyang Wang (1) Moshiur Farazi (1) László A. Jeni (1) Jinqi Luo (1) Ziqing Xu (1)

Research topics

Deep Learning (3) Machine Learning (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Optimization & Theory · Machine Learning (2) Computer Vision (1) Analysis (1) Generation (1) Optimization & Theory · Deep Learning (1)

Keywords

gradient flow (2) matrix factorization (1) fourier analysis (1) neural network optimization (1) optical flow (1) generalization bound (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) neural radiance field (1) novel view synthesis (1) monocular video (1) spectral bia (1) spectral initialization (1) scene flow (1) inverse function theorem (1) deformable radiance field (1) deformable neural radiance field (1) optical flow supervision (1) stochastic gradient descent (1) flow supervision (1)

Papers

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Flow Supervision for Deformable NeRF CVPR 2023 How much does Initialization Affect Generalization? ICML 2023