Media Summary: Kanghoon Yoon, KAIST Modeling and predicting patterns of events in time-series Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ... Yunjia Xi, Shanghai Jiao Tong University.

Kdd 2023 Learning Multivariate Hawkes - Detailed Analysis & Overview

Kanghoon Yoon, KAIST Modeling and predicting patterns of events in time-series Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ... Yunjia Xi, Shanghai Jiao Tong University. For further info, visit our website at Seminar talk by Laurent Decreusefond (Télécom-Paris) (22/06/2022) ... Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ... Jinhua Zhu, University of Science and Technology of China.

Zhuoqun Li: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification. Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task

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KDD 2023 - Learning Multivariate Hawkes Process via Graph Recurrent Neural Network
KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - A Framework for Learning Item-Features to Make a Domain
"Invertibility on the Poisson space and construction of Hawkes processes" by L. Decreusefond (TP)
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
Lekha Patel - Seminar - "Flexible Hawkes Process Models and Applications"
KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
KDD 2023 - Dual-view Molecular Pre-training
Zhuoqun Li@LSU: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification
KDD 2023 - Opening Session
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KDD 2023 - Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

KDD 2023 - Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

Kanghoon Yoon, KAIST Modeling and predicting patterns of events in time-series

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ...

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Yunjia Xi, Shanghai Jiao Tong University.

KDD 2023 - A Framework for Learning Item-Features to Make a Domain

KDD 2023 - A Framework for Learning Item-Features to Make a Domain

Taeho Kim, Hanyang University.

"Invertibility on the Poisson space and construction of Hawkes processes" by L. Decreusefond (TP)

"Invertibility on the Poisson space and construction of Hawkes processes" by L. Decreusefond (TP)

For further info, visit our website at https://www.lincs.fr​​​ Seminar talk by Laurent Decreusefond (Télécom-Paris) (22/06/2022) ...

Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes

Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes

Authors: Maximilian Nickel, Matthew Le.

Lekha Patel - Seminar - "Flexible Hawkes Process Models and Applications"

Lekha Patel - Seminar - "Flexible Hawkes Process Models and Applications"

Title: Flexible

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Xiang Rong Sheng, Alibaba Group We propose JRC that can Jointly optimize the Ranking and Calibration abilities. JRC improves ...

KDD 2023 - Dual-view Molecular Pre-training

KDD 2023 - Dual-view Molecular Pre-training

Jinhua Zhu, University of Science and Technology of China.

Zhuoqun Li@LSU: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Zhuoqun Li@LSU: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

Zhuoqun Li@LSU: The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

KDD 2023 - Opening Session

KDD 2023 - Opening Session

Opening Ceremony.

KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task