Minju Jo

5 papers · 2022–2025 · 4 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 (12) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICLR (2) AAAI (1) ICML (1) IJCAI (1)

Top co-authors

Noseong Park (5) Kookjin Lee (2) Sheo Yon Jhin (2) Woojin Cho (2) Seungji Kook (2) Haksoo Lim (1) Kook Seungji (1) Jihyeon Hyeong (1) Jaehoon Lee (1) Dongeun Lee (1)

Research topics

Deep Learning (5) Machine Learning (5) Architectures (4) Core Methods (3) Optimization & Theory (2) Mathematics & Optimization (1) Application Areas (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Optimization (1) Techniques (1)

Keywords

time series forecasting (3) time series classification (1) latent representation (1) physics-informed neural network (1) neural ordinary differential equation (1) parameter space (1) irregular time series (1) hawkes process (1) sequential event (1) controlled differential equation (1) design optimization (1) neural controlled differential equation (1) feature vector (1) neural network (1) failure mode (1) coordinate-based mlp (1) autoencoder model (1) periodic signal (1) signal extrapolation (1) interpolation algorithm (1)

Papers

Neural Functions for Learning Periodic Signal ICLR 2025 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 Hawkes Process Based on Controlled Differential Equations IJCAI 2023 Learnable Path in Neural Controlled Differential Equations AAAI 2023 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022