GDPP: Learning Diverse Generations Using Determinantal Point Process

30 November 2018

Papers citing "GDPP: Learning Diverse Generations Using Determinantal Point Process"

8 / 8 papers shown

Title
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 22 3 0 07 Feb 2023
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 37 43 0 20 Dec 2021
Generating Diverse 3D Reconstructions from a Single Occluded Face Image Rahul Dey Vishnu Naresh Boddeti CVBM 3DH 21 7 0 01 Dec 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 27 27 0 09 Apr 2021
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization Nima Anari T. Vuong 24 9 0 10 Feb 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 16 26 0 14 Oct 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell Insu Han Elvis Dohmatob Jennifer Gillenwater Victor-Emmanuel Brunel 15 16 0 17 Jun 2020
Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan Kris M. Kitani 28 130 0 11 Jul 2019