ML Anthology

Galib, Asadullah Hill

4 publications

NeurIPS 2024 FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
IJCAI 2023 Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo
NeurIPSW 2022 Can We Forecast and Detect Earthquakes from Heterogeneous Multivariate Time Series Data? Luke Cullen, Asadullah Hill Galib, Andrew William Smith, Debvrat Varshney, Edward Brown, Peter Chi, Xiangning Chu, Filip Svoboda
IJCAI 2022 DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan