Co-occurring keywords · papers mentioning both
Papers
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
UAI 2025
Image Copy Detection for Diffusion Models
NeurIPS 2024
Less Is More Important: An Attention Module Guided by Probability Density Function for Convolutional Neural Networks
AAAI 2023
Generative Flows With Invertible Attentions
CVPR 2022
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
AAAI 2022
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
AAAI 2019
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
JMLR 2019
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
ACL 2018
Model Integration for HMM- and DNN-Based Speech Synthesis Using Product-of-Experts Framework
Interspeech 2016
Interpolation on the Manifold of K Component GMMs
ICCV 2015
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification
CVPR 2013
What do row and column marginals reveal about your dataset?
NeurIPS 2013