Topic:
Domain Generalization in Federated Learning

keywords:
Federated Learning
Domain Generalization
Invariant Representation Learning
Conditional Mutual Information

Reference:
Nguyen, A.…

• Date

  2025.05.30.

• Speaker

  유혜원

Topic:
Offline Model-based Optimization

keywords:
Black-box optimization
Trajectory generation
Classifier-free guidance
Diffusion probabilistic model

Reference:
Yun, Taeyoung, et al. "Guid…

• Date

  2025.05.02.

• Speaker

  김찬호

Topic:
Continuous Temporal Domain Generalization

keywords:
Temporal Domain Generalization
Continuous Temporal Domain Generalization
Koopman operator
Model dynamics

Reference:
Cai, Zekun, e…

• Date

  2025.04.11

• Speaker

  이형권

Topic:
Temporal Fusion Transformers for Interpretable Multi-Horizon Time Series Forecasting

Keywords:
Transformers
Time Series Forecasting
Interpretability
Multi-Horizon Forecasting

• Date

  2025.03.28

• Speaker

  김철규

Topic:
Dynamic Curriculum Learning for Imbalanced Data Classification

Keywords:
Curriculum Learning
Class Imbalance
Sampling Strategy
Triplet Loss

Reference:
Wang, Y., Gan, W., Yang, J., …

• Date

  2024.07.31.

• Speaker

  변유정

Topic:
Correlation Recurrent Units A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data

Keywords:
Neural network
RNN
STL Decomposition

Reference:
Sim, Su…

• Date

  2024.07.30.

• Speaker

  김찬호

Topic:
Periodic activation function

Keywords:
Neural network
Periodicity
Activation function
Extrapolation

Reference:
Liu et al., “Neural Networks Fail to Learn Periodic Functions and How …

• Date

  2024.07.23

• Speaker

  김주헌

Introduction to Bayesian Neural Networks

• Date

  2024.07.23

• Speaker

  이종석

Topic:
Kolmogorov-Arnold Networks

Keywords:
Kolmogorov–Arnold representation theorem
MLP
Deep learning
Interpretability
Continual Learning

• Date

  2024.07.10

• Speaker

  김철규

Topic:
Recommender System

Keywords:
GNN
GC-MC
Message passing
Matrix Factorization

Reference:
Berg, Rianne van den, Thomas N. Kipf, and Max Welling. "Graph convolutional matrix completion.…

• Date

  2024.06.04.

• Speaker

  김찬호

Topic:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

keywords:
Semantic segmentation
Uncertainty estimation
Predictive uncertainty
Aleatoric …

• Date

  2024.04.16

• Speaker

  이형권

Topic:
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels

Keywords:
Bayesian Optimization
Few-Shot
Deep Kernels
Meta-Learning

• Date

  2024.04.02

• Speaker

  김철규