{"list":"other","total":55,"rows":[{"id":"1806.07366","title":"Neural Ordinary Differential Equations","created":"2018-06-19","cited_by_count":3779},{"id":"2201.12740","title":"FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting","created":"2022-01-30","cited_by_count":1210},{"id":"2209.00796","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","created":"2022-09-02","cited_by_count":1114},{"id":"2202.11214","title":"FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators","created":"2022-02-22","cited_by_count":776},{"id":"2310.01728","title":"Time-LLM: Time Series Forecasting by Reprogramming Large Language Models","created":"2023-10-03","cited_by_count":700},{"id":"2302.11939","title":"One Fits All:Power General Time Series Analysis by Pretrained LM","created":"2023-02-23","cited_by_count":632},{"id":"2301.10343","title":"ClimaX: A foundation model for weather and climate","created":"2023-01-24","cited_by_count":337},{"id":"2212.12794","title":"GraphCast: Learning skillful medium-range global weather forecasting","created":"2022-12-24","cited_by_count":267},{"id":"2102.09548","title":"Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development","created":"2021-02-18","cited_by_count":264},{"id":"2306.12873","title":"FuXi: A cascade machine learning forecasting system for 15-day global weather forecast","created":"2023-06-22","cited_by_count":241},{"id":"2308.15560","title":"WeatherBench 2: A benchmark for the next generation of data-driven global weather models","created":"2023-08-29","cited_by_count":236},{"id":"2206.09426","title":"ADBench: Anomaly Detection Benchmark","created":"2022-06-19","cited_by_count":232},{"id":"1901.01588","title":"PyOD: A Python Toolbox for Scalable Outlier Detection","created":"2019-01-06","cited_by_count":222},{"id":"2312.15796","title":"GenCast: Diffusion-based ensemble forecasting for medium-range weather","created":"2023-12-25","cited_by_count":177},{"id":"2310.04948","title":"TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting","created":"2023-10-08","cited_by_count":174},{"id":"2308.08241","title":"TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series","created":"2023-08-16","cited_by_count":169},{"id":"2201.00382","title":"ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions","created":"2022-01-02","cited_by_count":153},{"id":"2308.08469","title":"LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters","created":"2023-08-16","cited_by_count":129},{"id":"2311.06190","title":"FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective","created":"2023-11-10","cited_by_count":127},{"id":"2403.07300","title":"CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning","created":"2024-03-12","cited_by_count":108},{"id":"2307.10422","title":"PreDiff: Precipitation Nowcasting with Latent Diffusion Models","created":"2023-07-19","cited_by_count":98},{"id":"2409.17515","title":"From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection","created":"2024-09-26","cited_by_count":98},{"id":"2404.10024","title":"ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs","created":"2024-04-15","cited_by_count":82},{"id":"2404.08472","title":"TSLANet: Rethinking Transformers for Time Series Representation Learning","created":"2024-04-12","cited_by_count":74},{"id":"1910.05189","title":"DDTCDR: Deep Dual Transfer Cross Domain Recommendation","created":"2019-10-11","cited_by_count":72},{"id":"2304.12891","title":"Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification","created":"2023-04-25","cited_by_count":56},{"id":"2307.01909","title":"ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling","created":"2023-07-04","cited_by_count":47},{"id":"1912.00290","title":"XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning","created":"2019-12-01","cited_by_count":42},{"id":"1812.01528","title":"LSCP: Locally Selective Combination in Parallel Outlier Ensembles","created":"2018-12-04","cited_by_count":32},{"id":"2405.17419","title":"MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities","created":"2024-05-27","cited_by_count":28},{"id":"2412.11142","title":"AD-LLM: Benchmarking Large Language Models for Anomaly Detection","created":"2024-12-15","cited_by_count":26},{"id":"2411.16832","title":"Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing","created":"2024-11-25","cited_by_count":21},{"id":"2111.06011","title":"Climate Modeling with Neural Diffusion Equations","created":"2021-11-11","cited_by_count":20},{"id":"2211.01834","title":"Toward Unsupervised Outlier Model Selection","created":"2022-11-03","cited_by_count":19},{"id":"2412.02142","title":"Personalized Multimodal Large Language Models: A Survey","created":"2024-12-03","cited_by_count":19},{"id":"2009.09471","title":"SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources","created":"2020-09-20","cited_by_count":17},{"id":"2412.04784","title":"NLP-ADBench: NLP Anomaly Detection Benchmark","created":"2024-12-06","cited_by_count":17},{"id":"2412.12154","title":"PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection","created":"2024-12-11","cited_by_count":17},{"id":"2011.00447","title":"AutoAudit: Mining Accounting and Time-Evolving Graphs","created":"2020-11-01","cited_by_count":15},{"id":"2208.11290","title":"ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels","created":"2022-08-24","cited_by_count":15},{"id":"2311.11961","title":"NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation","created":"2023-11-20","cited_by_count":14},{"id":"2309.15376","title":"ADGym: Design Choices for Deep Anomaly Detection","created":"2023-09-27","cited_by_count":11},{"id":"2307.16090","title":"Rapid Flood Inundation Forecast Using Fourier Neural Operator","created":"2023-07-29","cited_by_count":9},{"id":"2411.13724","title":"Exploring Large Language Models for Climate Forecasting","created":"2024-11-20","cited_by_count":8},{"id":"1901.04555","title":"Music Artist Classification with Convolutional Recurrent Neural Networks","created":"2019-01-14","cited_by_count":6},{"id":"2110.14007","title":"TOD: GPU-accelerated Outlier Detection via Tensor Operations","created":"2021-10-26","cited_by_count":6},{"id":"2307.06534","title":"DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection","created":"2023-07-13","cited_by_count":6},{"id":"2307.10529","title":"Fast Unsupervised Deep Outlier Model Selection with Hypernetworks","created":"2023-07-20","cited_by_count":6},{"id":"2406.02066","title":"Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models","created":"2024-06-04","cited_by_count":6},{"id":"1911.10418","title":"DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles","created":"2019-11-23","cited_by_count":5},{"id":"2305.14065","title":"Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks","created":"2023-05-23","cited_by_count":5},{"id":"2410.12476","title":"Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation","created":"2024-10-16","cited_by_count":5},{"id":"1904.07998","title":"SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula","created":"2019-04-16","cited_by_count":4},{"id":"2002.03222","title":"SUOD: Toward Scalable Unsupervised Outlier Detection","created":"2020-02-08","cited_by_count":4},{"id":"2208.11727","title":"Hyperparameter Optimization for Unsupervised Outlier Detection","created":"2022-08-24","cited_by_count":4}],"next_cursor":null}