Sheo Yon Jhin

3 papers · 2021–2023 · 2 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 (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

AAAI (2) ICLR (1)

Top co-authors

Noseong Park (3) Minju Jo (2) Seungji Kook (1) Dongeun Lee (1) Jungeun Kim (1) Jayoung Kim (1) Jinsung Jeon (1) Kook Seungji (1) Jihyeon Hyeong (1) Jaehoon Lee (1)

Research topics

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

Keywords

time series forecasting (2) time series classification (1) physics-informed neural network (1) partial differential equation (1) neural ordinary differential equation (1) model training (1) neural controlled differential equation (1) feature vector (1) time extrapolation (1) solution prediction (1) autoencoder model (1) interpolation algorithm (1) logsignature transform (1) neural rough differential equation (1) representation learning (1) lower-dimensional embedding (1)

Papers

Learnable Path in Neural Controlled Differential Equations AAAI 2023 LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations ICLR 2022 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021