Portrait de Minkyu Kim

Minkyu Kim

minkyu.kim@mila.quebec
Visiteur de recherche indépendant - KAIST
Superviseur⋅e principal⋅e
Alex Hernández-García
Sujets de recherche
Cristaux
IA pour la science
Modèles génératifs
Modèles probabilistes
Modélisation moléculaire
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Publications

Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo
Minsu Kim
Minkyu Kim
Kiyoung Seong
Sungsoo Ahn
We propose Energy-based generator matching (EGM), a modality-agnostic approach to train generative models from energy functions in the absen… (voir plus)ce of data. Extending the recently proposed generator matching, EGM enables training of arbitrary continuous-time Markov processes, e.g., diffusion, flow, and jump, and can generate data from continuous, discrete, and a mixture of two modalities. To this end, we propose estimating the generator matching loss using self-normalized importance sampling with an additional bootstrapping trick to reduce variance in the importance weight. We validate EGM on both discrete and multimodal tasks up to 100 and 20 dimensions, respectively.
2025-12-02
Neural Information Processing Systems (Accept (poster))
doi.org
openreview.net