| Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression | Jul 14, 2024 | Computational chemistryPoint Processes | —Unverified | 0 |
| Mamba Hawkes Process | Jul 7, 2024 | Computational EfficiencyMamba | —Unverified | 0 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 |
| Learning k-Determinantal Point Processes for Personalized Ranking | Jun 23, 2024 | DiversityPoint Processes | —Unverified | 0 |
| Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization | Jun 13, 2024 | Bayesian OptimizationDiversity | CodeCode Available | 0 |
| Neuro-Symbolic Temporal Point Processes | Jun 6, 2024 | Point Processes | —Unverified | 0 |
| On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes | Jun 2, 2024 | Point Processes | —Unverified | 0 |
| Modeling Randomly Observed Spatiotemporal Dynamical Systems | Jun 1, 2024 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes | May 29, 2024 | Point ProcessesRecommendation Systems | —Unverified | 0 |
| Comparison of Point Process Learning and its special case Takacs-Fiksel estimation | May 29, 2024 | Point Processes | —Unverified | 0 |
| A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrodinger Equation | May 28, 2024 | Point ProcessesVariational Monte Carlo | —Unverified | 0 |
| Naturally Private Recommendations with Determinantal Point Processes | May 22, 2024 | DiversityPoint Processes | —Unverified | 0 |
| RoTHP: Rotary Position Embedding-based Transformer Hawkes Process | May 11, 2024 | Point ProcessesPosition | —Unverified | 0 |
| Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems | May 9, 2024 | Point Processes | —Unverified | 0 |
| PCA for Point Processes | Apr 30, 2024 | Point Processes | CodeCode Available | 0 |
| Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks | Apr 27, 2024 | Point Processes | —Unverified | 0 |
| A Deep Learning Method for Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks | Apr 10, 2024 | Feature EngineeringPoint Processes | —Unverified | 0 |
| Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records | Apr 9, 2024 | Point ProcessesTemporal Sequences | —Unverified | 0 |
| TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure | Apr 4, 2024 | EpidemiologyPoint Processes | —Unverified | 0 |
| Modeling and Coverage Analysis of K-Tier Integrated Satellite-Terrestrial Downlink Networks | Mar 17, 2024 | Point Processes | —Unverified | 0 |
| On the Efficient Marginalization of Probabilistic Sequence Models | Mar 6, 2024 | Point Processes | —Unverified | 0 |
| Probabilistic Generating Circuits -- Demystified | Mar 4, 2024 | Point Processes | —Unverified | 0 |
| Enhancing Jailbreak Attacks with Diversity Guidance | Mar 1, 2024 | DiversityLanguage Modelling | —Unverified | 0 |
| Point Processes and spatial statistics in time-frequency analysis | Feb 29, 2024 | DenoisingPoint Processes | —Unverified | 0 |
| Analyzing Downlink Coverage in Clustered Low Earth Orbit Satellite Constellations: A Stochastic Geometry Approach | Feb 26, 2024 | Point Processes | —Unverified | 0 |
| Batch Active Learning of Reward Functions from Human Preferences | Feb 24, 2024 | Active LearningPoint Processes | —Unverified | 0 |
| Selective linear segmentation for detecting relevant parameter changes | Feb 8, 2024 | Model SelectionPoint Processes | —Unverified | 0 |
| Diversity Measurement and Subset Selection for Instruction Tuning Datasets | Feb 4, 2024 | DiversityInstruction Following | —Unverified | 0 |
| XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications | Feb 3, 2024 | Point Processes | CodeCode Available | 0 |
| Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation | Feb 3, 2024 | Point Processes | —Unverified | 0 |
| Self-Supervised Contrastive Pre-Training for Multivariate Point Processes | Feb 1, 2024 | Point ProcessesRepresentation Learning | —Unverified | 0 |
| Cumulative Distribution Function based General Temporal Point Processes | Feb 1, 2024 | Information RetrievalPoint Processes | —Unverified | 0 |
| Meta-Learning for Neural Network-based Temporal Point Processes | Jan 29, 2024 | Meta-LearningPoint Processes | —Unverified | 0 |
| Fast parallel sampling under isoperimetry | Jan 17, 2024 | Point Processes | —Unverified | 0 |
| Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes | Jan 9, 2024 | Conformal PredictionPoint Processes | CodeCode Available | 0 |
| Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics | Jan 4, 2024 | Point Processesregression | —Unverified | 0 |
| A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs | Dec 26, 2023 | Point Processes | —Unverified | 0 |
| Probabilistic Modeling for Sequences of Sets in Continuous-Time | Dec 22, 2023 | Model SelectionPoint Processes | CodeCode Available | 0 |
| Weighted least-squares approximation with determinantal point processes and generalized volume sampling | Dec 21, 2023 | Point Processes | —Unverified | 0 |
| Hawkes-based cryptocurrency forecasting via Limit Order Book data | Dec 21, 2023 | Point ProcessesTime Series | —Unverified | 0 |
| Ergodic Secrecy Rate Analysis for LEO Satellite Downlink Networks | Dec 12, 2023 | Point Processes | —Unverified | 0 |
| Learn2Extend: Extending sequences by retaining their statistical properties with mixture models | Dec 3, 2023 | Point Processes | —Unverified | 0 |
| Stopping Methods for Technology Assisted Reviews based on Point Processes | Nov 14, 2023 | Point ProcessesTAR | CodeCode Available | 0 |
| Add and Thin: Diffusion for Temporal Point Processes | Nov 2, 2023 | DenoisingDensity Estimation | —Unverified | 0 |
| Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction | Nov 2, 2023 | DenoisingPoint Processes | CodeCode Available | 0 |
| Interacting Diffusion Processes for Event Sequence Forecasting | Oct 26, 2023 | DenoisingPoint Processes | CodeCode Available | 0 |
| Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification | Oct 25, 2023 | Point ProcessesUncertainty Quantification | —Unverified | 0 |
| DPP-TTS: Diversifying prosodic features of speech via determinantal point processes | Oct 23, 2023 | DiversityPoint Processes | —Unverified | 0 |
| Signal reconstruction using determinantal sampling | Oct 13, 2023 | Point Processes | —Unverified | 0 |
| Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes | Oct 9, 2023 | DenoisingPoint Processes | —Unverified | 0 |