Mike Gartrell

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 33

Top Topics

Mobile Augmented Reality

Point Processes

Generative Model

Multiple Sources

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Clarine Vongpaseut, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation. CORIA-TALN (2) (2023)
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Learning from Multiple Sources for Data-to-Text and Text-to-Data. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR (2023)
Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari
Learning from Multiple Sources for Data-to-Text and Text-to-Data. AISTATS (2023)
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS (2023)
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. CoRR (2022)
Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes. ICML (2022)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. ICLR (2022)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. CoRR (2022)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR (2021)
Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand
Combining Reward and Rank Signals for Slate Recommendation. CoRR (2021)
Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang
Bayesian Causal Inference for Real World Interactive Systems. KDD (2021)
Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes
Wasserstein Learning of Determinantal Point Processes. CoRR (2020)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. CoRR (2020)
Syrine Krichene, Mike Gartrell, Clément Calauzènes
Embedding models for recommendation under contextual constraints. CoRR (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. NeurIPS (2019)
Mike Gartrell, Victor-Emmanuel Brunel, Elvis Dohmatob, Syrine Krichene
Learning Nonsymmetric Determinantal Point Processes. CoRR (2019)
Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
GEVR: An Event Venue Recommendation System for Groups of Mobile Users. CoRR (2019)
Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
GEVR: An Event Venue Recommendation System for Groups of Mobile Users. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (1) (2019)
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Determinantal Point Processes by Corrective Negative Sampling. AISTATS (2019)
Romain Warlop, Jérémie Mary, Mike Gartrell
Tensorized Determinantal Point Processes for Recommendation. KDD (2019)
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Determinantal Point Processes by Sampling Inferred Negatives. CoRR (2018)
Ugo Tanielian, Mike Gartrell, Flavian Vasile
Adversarial Training of Word2Vec for Basket Completion. CoRR (2018)
Romain Warlop, Jérémie Mary, Mike Gartrell
Basket Completion with Multi-task Determinantal Point Processes. CoRR (2018)
Mike Gartrell, Elvis Dohmatob
Deep Determinantal Point Processes. CoRR (2018)
Shuo Zhang, Khaled Alanezi, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application. CoRR (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes. AAAI (2017)
Shuo Zhang, Khaled Alanezi, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Bayesian Low-Rank Determinantal Point Processes. RecSys (2016)
Peng Zhang, Hansu Gu, Mike Gartrell, Tun Lu, Dayi Yang, Xianghua Ding, Ning Gu
Group-based Latent Dirichlet Allocation (Group-LDA): Effective audience detection for books in online social media. Knowl. Based Syst. 105 (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR (2016)
Junho Ahn, James Williamson, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra
Supporting Healthy Grocery Shopping via Mobile Augmented Reality. ACM Trans. Multim. Comput. Commun. Appl. 12 (1s) (2015)
Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
A large-scale exploration of group viewing patterns. TVX (2014)
Hansu Gu, Mike Gartrell, Liang Zhang, Qin Lv, Dirk Grunwald
AnchorMF: towards effective event context identification. CIKM (2013)
Aaron Beach, Mike Gartrell, Richard Han
q-Anon: practical anonymity for social networks. Int. J. Soc. Comput. Cyber Phys. Syst. 1 (3) (2012)
Aaron Beach, Mike Gartrell, Richard Han
Social-K: Real-time K-anonymity guarantees for social network applications. PerCom Workshops (2010)
Mike Gartrell, Xinyu Xing, Qin Lv, Aaron Beach, Richard Han, Shivakant Mishra, Karim Seada
Enhancing group recommendation by incorporating social relationship interactions. GROUP (2010)
Aaron Beach, Mike Gartrell, Richard Han
q-Anon: Rethinking Anonymity for Social Networks. SocialCom/PASSAT (2010)
Aaron Beach, Mike Gartrell, Xinyu Xing, Richard Han, Qin Lv, Shivakant Mishra, Karim Seada
Fusing mobile, sensor, and social data to fully enable context-aware computing. HotMobile (2010)
Aaron Beach, Mike Gartrell, Richard Han
Solutions to Security and Privacy Issues in Mobile Social Networking. CSE (4) (2009)
Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han
WhozThat? evolving an ecosystem for context-aware mobile social networks. IEEE Netw. 22 (4) (2008)