AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability DataSantosh PalaskarVijay Ekambaramet al.2024IAAI 2024
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingVijay EkambaramArindam Jatiet al.2023KDD 2023
A scale invariant measure of flatness for deep network minimaAkshay RangamaniNam H. Nguyenet al.2021ICASSP 2021
Pruning Deep Neural Networks with ell_{0}-constrained OptimizationDzung T. PhanLam Nguyenet al.2020ICDM 2020
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time SeriesKyongmin YeoIgor Melnyket al.2018ICDM 2018
Net-Trim: Convex pruning of deep neural networks with performance guaranteeAlireza AghasiAfshin Abdiet al.2017NeurIPS 2017
Linear convergence of stochastic iterative greedy algorithms with sparse constraintsNam NguyenDeanna Needellet al.2017IEEE Trans. Inf. Theory