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Sungil Kim

5 papers · 2024–2026 · 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 Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (11) πŸ† Keyword Champion (4)

Venues

AAAI (3) ICLR (1) IJCAI (1)

Top co-authors

YongKyung Oh (5) Dong-Young Lim (4) Jonghun Lee (2) Dongyoung Lim (1) Seungsu Kam (1) Alex A. T. Bui (1)

Research topics

Machine Learning (4) Deep Learning (3) Optimization & Theory (3) Artificial Intelligence (2) Data Science & Analytics (2) Core AI (2) Core Methods (2) Methods (2) Architectures (1) Models (1) Techniques (1)

Keywords

neural differential equation (4) irregular time series (3) time series classification (2) neural ordinary differential equation (2) distribution shift (1) dropout regularization (1) latent representation (1) stochastic differential equation (1) neural flow (1) predictive uncertainty (1) neural stochastic differential equation (1) invertible flow (1) continuous dynamics (1) numerical method (1) data interpolation (1) control path (1) time series analysis (1) alternating renewal process (1) manifold learning (1) time series forecasting (1)

Papers

Continuum Dropout for Neural Differential Equations AAAI 2026 FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026 Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025 DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis AAAI 2025 Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data ICLR 2024