Co-occurring keywords · papers mentioning both
Papers
FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions
AAAI 2026
DAM: Towards a Foundation Model for Forecasting
ICLR 2024
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
NeurIPS 2024
Scaling Up Unbiased Search-based Symbolic Regression
IJCAI 2024
Zero-Shot Reinforcement Learning via Function Encoders
ICML 2024
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NeurIPS 2023
Dimension Reduction and MARS
JMLR 2023
Q-functionals for Value-Based Continuous Control
AAAI 2023
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
ICML 2021
NeX: Real-Time View Synthesis With Neural Basis Expansion
CVPR 2021
Compatible Reward Inverse Reinforcement Learning
NeurIPS 2017
Model-Based Control Using Koopman Operators
RSS 2017
Basis refinement strategies for linear value function approximation in MDPs
NeurIPS 2015
The Falling Factorial Basis and Its Statistical Applications
ICML 2014
Basis Construction from Power Series Expansions of Value Functions
NeurIPS 2010
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
NeurIPS 2008
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes
JMLR 2007
Building Support Vector Machines with Reduced Classifier Complexity
JMLR 2006
Efficient sparse coding algorithms
NeurIPS 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
NeurIPS 2006
A Maximum Likelihood Approach to Single-channel Source Separation
JMLR 2003