Mike Gartrell | DeepAI

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∙ 05/25/2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models

Particle-based deep generative models, such as gradient flows and score-...

0 Jean-Yves Franceschi, et al. ∙

∙ 02/22/2023

Learning from Multiple Sources for Data-to-Text and Text-to-Data

Data-to-text (D2T) and text-to-data (T2D) are dual tasks that convert st...

0 Song Duong, et al. ∙

∙ 07/01/2022

Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes

A determinantal point process (DPP) is an elegant model that assigns a p...

0 Insu Han, et al. ∙

∙ 01/20/2022

Scalable Sampling for Nonsymmetric Determinantal Point Processes

A determinantal point process (DPP) on a collection of M items is a mode...

0 Insu Han, et al. ∙

∙ 07/26/2021

Combining Reward and Rank Signals for Slate Recommendation

We consider the problem of slate recommendation, where the recommender s...

0 Imad Aouali, et al. ∙

∙ 11/19/2020

Wasserstein Learning of Determinantal Point Processes

Determinantal point processes (DPPs) have received significant attention...

0 Lucas Anquetil, et al. ∙

∙ 06/17/2020

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Determinantal point processes (DPPs) have attracted significant attentio...

0 Mike Gartrell, et al. ∙

∙ 06/21/2019

Embedding models for recommendation under contextual constraints

Embedding models, which learn latent representations of users and items ...

0 Syrine Krichene, et al. ∙

∙ 05/30/2019

Learning Nonsymmetric Determinantal Point Processes

Determinantal point processes (DPPs) have attracted substantial attentio...

0 Mike Gartrell, et al. ∙

∙ 03/25/2019

GEVR: An Event Venue Recommendation System for Groups of Mobile Users

In this paper, we present GEVR, the first Group Event Venue Recommendati...

0 Jason Shuo Zhang, et al. ∙

∙ 11/17/2018

Deep Determinantal Point Processes

Determinantal point processes (DPPs) have attracted significant attentio...

0 Mike Gartrell, et al. ∙

∙ 05/24/2018

Basket Completion with Multi-task Determinantal Point Processes

Determinantal point processes (DPPs) have received significant attention...

0 Romain Warlop, et al. ∙

∙ 05/22/2018

Adversarial Training of Word2Vec for Basket Completion

In recent years, the Word2Vec model trained with the Negative Sampling l...

0 Ugo Tanielian, et al. ∙

∙ 02/15/2018

Learning Determinantal Point Processes by Sampling Inferred Negatives

Determinantal Point Processes (DPPs) have attracted significant interest...

0 Zelda Mariet, et al. ∙

∙ 10/06/2017

Understanding Group Event Scheduling via the OutWithFriendz Mobile Application

The wide adoption of smartphones and mobile applications has brought sig...

0 Shuo Zhang, et al. ∙

∙ 08/15/2016

The Bayesian Low-Rank Determinantal Point Process Mixture Model

Determinantal point processes (DPPs) are an elegant model for encoding p...

0 Mike Gartrell, et al. ∙

∙ 02/17/2016

Low-Rank Factorization of Determinantal Point Processes for Recommendation

Determinantal point processes (DPPs) have garnered attention as an elega...

0 Mike Gartrell, et al. ∙

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