Sungwon Kim
18 papers · 2019–2025 · 7 venues · across top CS/AI venues
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diffusion model
(5)
graph neural network
(3)
speaker adaptation
(3)
zero-shot learning
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speech synthesis
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image generation
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information bottleneck
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generative flow
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flow matching
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graph classification
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explainable ai
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neural machine translation
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image editing
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image translation
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density estimation
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maximum likelihood
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voice conversion
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synthetic data generation
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self-supervised learning
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Papers
ETTA: Elucidating the Design Space of Text-to-Audio Models
ICML 2025
Fugatto 1: Foundational Generative Audio Transformer Opus 1
ICLR 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
ICML 2025
Unsupervised Episode Generation for Graph Meta-learning
ICML 2024
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech
Interspeech 2024
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
NeurIPS 2023
Interpretable Prototype-based Graph Information Bottleneck
NeurIPS 2023
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
NeurIPS 2023
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
Interspeech 2023
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
ICML 2022
Perception Prioritized Training of Diffusion Models
CVPR 2022
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
EMNLP 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ICCV 2021
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
NeurIPS 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NeurIPS 2020
FloWaveNet : A Generative Flow for Raw Audio
ICML 2019