Media Summary: Yuan Yuan, Department of Electronic Engineering, Tsinghua University. Ruizhong Qiu, University of Illinois Urbana-Champaign. Mridul Gupta, Indian Institute of Technology Delhi Frigate: Frugal

Kdd 2023 Spatio Temporal Diffusion - Detailed Analysis & Overview

Yuan Yuan, Department of Electronic Engineering, Tsinghua University. Ruizhong Qiu, University of Illinois Urbana-Champaign. Mridul Gupta, Indian Institute of Technology Delhi Frigate: Frugal Shuangli Li, University of Science and Technology of China; Baidu Research. Mohamed Ragab, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)), Emadeldeen ... Zilong Wang, University of California, San Diego - Presentation video (short version) for

STAMPS Workshop on Trustworthy Statistical Inference for the Physical Sciences , May 15, 2026 Speaker: Adam Sykulski ... Kiran Tomlinson, Cornell University - Workplace Recommendation with Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

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KDD 2023 - Spatio-temporal Diffusion Point Processes
KDD 2023 - Generative Causal Interpretation Model for Spatio-Temporal Representation Learning
KDD 2023 - Reconstructing Graph Diffusion History from a Single Snapsho
KDD 2023 - Frigate: Frugal Spatio-temporal Forecasting on Road Networks
KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas
KDD 2023 - Imputation-based Series Anomaly DetectionConditional Weight-Incremental Diffusion Models
SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media
KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
Adam Sykulski: Debiased Spatio-temporal Inference
KDD 2023 - Workplace Recommendation with Temporal Network Objectives
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KDD 2023 - Spatio-temporal Diffusion Point Processes

KDD 2023 - Spatio-temporal Diffusion Point Processes

Yuan Yuan, Department of Electronic Engineering, Tsinghua University.

KDD 2023 - Generative Causal Interpretation Model for Spatio-Temporal Representation Learning

KDD 2023 - Generative Causal Interpretation Model for Spatio-Temporal Representation Learning

Yu Zhao, Beihang University.

KDD 2023 - Reconstructing Graph Diffusion History from a Single Snapsho

KDD 2023 - Reconstructing Graph Diffusion History from a Single Snapsho

Ruizhong Qiu, University of Illinois Urbana-Champaign.

KDD 2023 - Frigate: Frugal Spatio-temporal Forecasting on Road Networks

KDD 2023 - Frigate: Frugal Spatio-temporal Forecasting on Road Networks

Mridul Gupta, Indian Institute of Technology Delhi Frigate: Frugal

KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas

KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas

Shuangli Li, University of Science and Technology of China; Baidu Research.

KDD 2023 - Imputation-based Series Anomaly DetectionConditional Weight-Incremental Diffusion Models

KDD 2023 - Imputation-based Series Anomaly DetectionConditional Weight-Incremental Diffusion Models

Zehua Gou, Henan Univeristy.

SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media

SocialWave: Visual Analysis of Spatio-temporal Diffusion of Information on Social Media

SocialWave: Visual Analysis of

KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

Mohamed Ragab, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)), Emadeldeen ...

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

Zilong Wang, University of California, San Diego - Presentation video (short version) for

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

Chenyu Zhao, Nankai University.

Adam Sykulski: Debiased Spatio-temporal Inference

Adam Sykulski: Debiased Spatio-temporal Inference

STAMPS Workshop on Trustworthy Statistical Inference for the Physical Sciences , May 15, 2026 Speaker: Adam Sykulski ...

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

Kiran Tomlinson, Cornell University - Workplace Recommendation with

KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration

KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration

Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...