Sungwon Kim
18 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(27)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(60)
π₯
Unstoppable
(7)
π
Century Club
(18)
Conferences
ICML (6)
NIPS (5)
ICLR (2)
INTERSPEECH (2)
CVPR (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
diffusion model
(4)
speaker adaptation
(3)
graph neural network
(2)
generative flow
(2)
speech synthesis
(2)
information bottleneck
(2)
image generation
(2)
self-supervised learning
(1)
image editing
(1)
prototype learning
(1)
explainable ai
(1)
image translation
(1)
flow matching
(1)
maximum likelihood
(1)
neural machine translation
(1)
graph classification
(1)
latent variable
(1)
generative model
(1)
normalizing flow
(1)
sublinear complexity
(1)
Papers
Fugatto 1: Foundational Generative Audio Transformer Opus 1
ICLR 2025
ETTA: Elucidating the Design Space of Text-to-Audio Models
ICML 2025
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
ICML 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech
INTERSPEECH 2024
Unsupervised Episode Generation for Graph Meta-learning
ICML 2024
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
INTERSPEECH 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Interpretable Prototype-based Graph Information Bottleneck
NIPS 2023
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting
NIPS 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
NIPS 2023
Perception Prioritized Training of Diffusion Models
CVPR 2022
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
ICML 2022
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ICCV 2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
EMNLP 2021
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
NIPS 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NIPS 2020
FloWaveNet : A Generative Flow for Raw Audio
ICML 2019