Simon Mak

4 papers · 2020–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)

Venues

NeurIPS (2) AAAI (1) AISTATS (1)

Top co-authors

Cynthia Rudin (2) Stephen Ni-Hahn (2) Yue Jiang (2) Mingchen Ma (1) Chao Yang (1) Jerry Yin (1) Kevin Li (1) Haoyun Wang (1) Liyan Xie (1) Rico Zhu (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Mathematics & Optimization (2) Bayesian & Probabilistic (2) Core AI (2) Optimization & Theory (2) Architectures (1) Core Methods (1) Learning Types (1) Mathematics (1) Models (1) Optimization (1) Techniques (1)

Keywords

schenkerian analysis (2) kernel approximation (1) granger causality (1) gaussian process (1) hierarchical representation (1) network inference (1) gaussian process regression (1) concentration inequality (1) diffusion model (1) discrete diffusion (1) uncertainty estimation (1) fourier feature (1) quadrature rule (1) uncertainty estimate (1) hawkes process (1) music generation (1) graph pooling (1) multivariate hawkes process (1) graph neural network (1) node isolation (1)

Papers

AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation AAAI 2026 ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis NeurIPS 2025 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Uncertainty Quantification for Inferring Hawkes Networks NeurIPS 2020