Sehwan Kim

4 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 · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AAAI (2) JMLR (1) NeurIPS (1)

Top co-authors

Hyeonggeun Han (3) Hyungjun Joo (3) Sangwoo Hong (3) Jungwoo Lee (3) Jinwon Sohn (1) Jordan Awan (1) Taegyu Kang (1) Sunbeom Jeong (1)

Research topics

Machine Learning (4) Deep Learning (3) Application Areas (3) Optimization & Theory (3) Artificial Intelligence (2) Core AI (2) Models (2) Mathematics & Optimization (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1)

Keywords

differential privacy (1) representation learning (1) explainable ai (1) topological data analysis (1) feature disentanglement (1) adaptive sampling (1) machine learning fairness (1) empirical risk minimization (1) sensitivity analysis (1) exponential mechanism (1) generative model (1) diffusion model (1) bias mitigation (1) latent space (1) spurious correlation (1) group fairness (1) debiasing method (1) dataset distillation (1) counterfactual explanation (1) synthetic dataset (1)

Papers

An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity AAAI 2026 Constructing Fair Latent Space for Intersection of Fairness and Explainability AAAI 2025 Differentially Private Topological Data Analysis JMLR 2024 Mitigating Spurious Correlations via Disagreement Probability NeurIPS 2024