{"total":23,"rows":[{"id":"2202.11485","title":"Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences","created":"2022-02-17","cited_by_count":14,"area":null},{"id":"2208.10671","title":"Cardinality-Regularized Hawkes-Granger Model","created":"2022-08-23","cited_by_count":14,"area":null},{"id":"2102.00089","title":"Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling","created":"2021-01-29","cited_by_count":12,"area":null},{"id":"2206.05291","title":"ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences","created":"2022-06-10","cited_by_count":11,"area":null},{"id":"2309.17257","title":"A Survey on Deep Learning Techniques for Action Anticipation","created":"2023-09-29","cited_by_count":11,"area":null},{"id":"2104.07932","title":"Interval-censored Hawkes processes","created":"2021-04-16","cited_by_count":5,"area":null},{"id":"2211.08499","title":"Probabilistic Querying of Continuous-Time Event Sequences","created":"2022-11-15","cited_by_count":5,"area":null},{"id":"2208.06620","title":"Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions","created":"2022-08-13","cited_by_count":4,"area":null},{"id":"2206.12414","title":"Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes","created":"2022-06-23","cited_by_count":3,"area":null},{"id":"2104.01029","title":"Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels","created":"2021-04-02","cited_by_count":2,"area":null},{"id":"2111.02062","title":"Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data","created":"2021-11-03","cited_by_count":2,"area":null},{"id":"2307.09613","title":"Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2307.10305","title":"Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows","created":"2023-07-13","cited_by_count":1,"area":null},{"id":"2505.19355","title":"Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement","created":"2025-05-25","cited_by_count":1,"area":null},{"id":"2604.01342","title":"Massively Parallel Exact Inference for Hawkes Processes","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2106.07012","title":"Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals","created":"2021-06-13","cited_by_count":0,"area":null},{"id":"2510.20414","title":"Addressing Mark Imbalance in Integration-free Neural Marked Temporal Point Processes","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2602.02838","title":"Beyond Content: Behavioral Policies Reveal Actors in Information Operations","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.07667","title":"Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network","created":"2026-02-07","cited_by_count":0,"area":null},{"id":"2603.19599","title":"Physics-Informed Neural Network with Adaptive Clustering Learning Mechanism for Information Popularity Prediction","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.26247","title":"TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.08400","title":"On Observation Time for Recovering Latent Hawkes Networks","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.27584","title":"Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention","created":"2026-05-26","cited_by_count":0,"area":null}],"next_cursor":null}