9 citations · 10 across the 4 of their papers we have counts for
4 papers
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
Hyunsoo Chung, Jungtaek Kim, Hyungeun Jo +1
A choice of optimization objective is immensely pivotal in the design of a recommender system as it affects the general modeling process of a user's intent from previous interactio…
Generative Neural Fields by Mixtures of Neural Implicit Functions
Tackgeun You, Mijeong Kim, Jungtaek Kim +1
We propose a novel approach to learning the generative neural fields represented by linear combinations of implicit basis networks. Our algorithm learns basis networks in the form…
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
Jungtaek Kim, Mingxuan Li, Oliver Hinder +1
Nanophotonic structures have versatile applications including solar cells, anti-reflective coatings, electromagnetic interference shielding, optical filters, and light emitting dio…
On Evaluation Metrics for Graph Generative Models
Rylee Thompson, Boris Knyazev, Elahe Ghalebi +2
In image generation, generative models can be evaluated naturally by visually inspecting model outputs. However, this is not always the case for graph generative models (GGMs), mak…