Publications
(C: Conferences, J: Journals, W: Workshops)
(* Corresponding authors, † Equal Contribution, Underline indicates lab members)
Embedded Files
2026
[W2] Jongwon Lee, Hyungsik Yoon, Seungchan Lee, Sungwoo Park*, "Thermo-Symplectic Neural Langevin Flows", 40th Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop, Sydney, Australia, 2026.
[C16] Sungwoo Park*, Jongwon Lee, Jiwoong Kim and Hyungsik Yoon, "Gauge-Symmetric Dual Lagrangian Frameworks for Born-Oppenheimer Molecular Dynamics", 40th Annual Conference on Neural Information Processing Systems (NeurIPS), Sydney, Australia, 2026.
[C15] Sungwoo Park*, "Symplectic Parallel Scan: A Neural Hamiltonian Framework for Accelerated Scientific Simulation", 40th Annual Conference on Neural Information Processing Systems (NeurIPS), Sydney, Australia, 2026.
[C14] Sungwoo Park*, "Horizontal Diffusion Models: Score-based Generative Modeling on Frame-Connection Geometry", 40th Annual Conference on Neural Information Processing Systems (NeurIPS), Sydney, Australia, 2026.
[C13] Jongwon Lee, Jiwoong Kim, Jungwoo Park and Sungwoo Park*, "Lie-Algebraic Neural Koopman Dynamics", 43rd International Conference on Machine Learning (ICML), Seoul, Korea, 2026.
[C12] Sungwoo Park*, Jongwon Lee and Jiwoong Kim, "Euler-Poincaré Neural Dynamics: A Geometric-Mechanics Framework for Scientific Simulation", 43rd International Conference on Machine Learning (ICML), Seoul, Korea, 2026.
2025
[C11] Sungwoo Park*, "Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics", 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, 2025.
[W1] Jiwoong Kim, Erdembileg Davaasuren, Youngsuk Lee and Sungwoo Park*, "Poisson-Algebraic Parallel Scan: A Fast Symplectic Framework for Neural Hamiltonians," 39th Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop, San Diego, USA, 2025.
~ 2024
[C10] Sungwoo Park, Dongjun Kim and Ahmed M Alaa*, "Mean-field Chaos Diffusion Models", 41st International Conference on Machine Learning International Conference on Machine Learning (ICML), Vienna, Austria, 2024, Oral presentation (Top 1.5%).
[C9] Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis and Ahmed M Alaa*, "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists", 12th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.
[C8] Sungwoo Park*, Byoungwoo Park, Moontae Lee and Changhee Lee, "Neural Stochastic Differential Games for Time-series Analysis", 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, 2023.
[J3] Sungwoo Park and Junseok Kwon*, "SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and Its Applications", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[C7] Sungwoo Park, Hyomin Kim, Kyungjae Lee and Junseok Kwon*, "Riemannian Neural SDE: Learning Stochastic Representations on Manifolds", 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2022.
[C6] Sungwoo Park, Kyungjae Lee and Junseok Kwon*, "Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data", 10th International Conference on Learning Representations (ICLR), 2022.
[J2] Sungwoo Park and Junseok Kwon*, "Riemannian Submanifold Framework for Log-Euclidean Metric Learning on Symmetric Positive Definite Manifolds", Expert Systems with Applications(ESWA), 2022.
[C5] Sungwoo Park and Junseok Kwon*, "Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data", 38th International Conference on Machine Learning (ICML), 2021.
[C4] Sungwoo Park, Dong Wook Shu and Junseok Kwon*, "Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation", 38th International Conference on Machine Learning (ICML), 2021.
[J1] Guisik Kim, Sungwoo Park and Junseok Kwon*, "Pixel-wise Wasserstein Autoencoder for Highly Generative Dehazing", IEEE Transactions on Image Processing (TIP), 2021.
[C3] Sungwoo Park, Dong Wook Shu and Junseok Kwon*, "Deep Diffusion-Invariant Wasserstein Distributional Classification", 34th Annual Conference on Neural Information Processing Systems (NeurIPS), 2020.
[C2] Dong Wook Shu, Sungwoo Park and Junseok Kwon*, "3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions", 17th International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
[C1] Sungwoo Park and Junseok Kwon*, "Sphere Generative Adversarial Network Based on Geometric Moment Matching", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, USA, 2019, Oral presentation (Top 5%).
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