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DPPNet: Approximating Determinantal Point Processes with Deep Networks

DPPNet: Approximating Determinantal Point Processes with Deep Networks

7 January 2019
Zelda E. Mariet
Yaniv Ovadia
Jasper Snoek
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Papers citing "DPPNet: Approximating Determinantal Point Processes with Deep Networks"

4 / 4 papers shown
Title
Diverse Probabilistic Trajectory Forecasting with Admissibility
  Constraints
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
30
3
0
07 Feb 2023
Diverse and Non-redundant Answer Set Extraction on Community QA based on
  DPPs
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs
Shogo Fujita
Tomohide Shibata
Manabu Okumura
21
5
0
18 Nov 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
18
26
0
14 Oct 2020
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
1