{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/prediction/papers/36","list_of":"/task/prediction","task":"Prediction","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":36,"pages_in_order":88,"rows_per_page":100,"rows":[3501,3600],"of":8760,"counts":{"archive_papers_tagged":8760,"with_a_code_link":2835,"where_syntology_ran_a_sample":607,"not_listed_spam_title":0,"listed":8760,"listed_where_code_ran":607,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":519,"every_run_a_failure_of_syntologys_instrument":88,"listed_with_a_run_with_no_instrument_failure":519,"listed_every_run_a_failure_of_syntologys_instrument":88,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/prediction","prev":"/task/prediction/papers/35","next":"/task/prediction/papers/37","papers":[{"url":null,"slug":"relation-learning-and-aggregate-attention-for","title":"Relation Learning and Aggregate-attention for Multi-person Motion Prediction","date":"2024-11-06","arxiv_id":"2411.03729","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-mamba-foundation-model-for-time-series","title":"A Mamba Foundation Model for Time Series Forecasting","date":"2024-11-05","arxiv_id":"2411.02941","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-generated-distribution-based-prediction","title":"LLM Generated Distribution-Based Prediction of US Electoral Results, Part I","date":"2024-11-05","arxiv_id":"2411.03486","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiscale-differential-geometry-learning-for","title":"Multiscale differential geometry learning for protein flexibility analysis","date":"2024-11-05","arxiv_id":"2411.03112","repositories_listed":0,"syntology":null},{"url":null,"slug":"surfgnn-a-robust-surface-based-prediction","title":"SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features","date":"2024-11-05","arxiv_id":"2411.05825","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-quantification-for-clinical","title":"Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models","date":"2024-11-05","arxiv_id":"2411.03497","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-uncertainty-in-llms-to-enhance","title":"Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI","date":"2024-11-04","arxiv_id":"2411.02381","repositories_listed":0,"syntology":null},{"url":null,"slug":"powerful-batch-conformal-prediction-for","title":"Powerful batch conformal prediction for classification","date":"2024-11-04","arxiv_id":"2411.02239","repositories_listed":0,"syntology":null},{"url":null,"slug":"semiparametric-conformal-prediction","title":"Semiparametric conformal prediction","date":"2024-11-04","arxiv_id":"2411.02114","repositories_listed":0,"syntology":null},{"url":null,"slug":"chronic-obstructive-pulmonary-disease","title":"Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network","date":"2024-11-03","arxiv_id":"2411.02449","repositories_listed":0,"syntology":null},{"url":null,"slug":"counterfactual-explainability-of-black-box","title":"Counterfactual explainability of black-box prediction models","date":"2024-11-03","arxiv_id":"2411.01625","repositories_listed":0,"syntology":null},{"url":null,"slug":"gramseq-dta-a-grammar-based-drug-target","title":"GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information","date":"2024-11-03","arxiv_id":"2411.01422","repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-preserving-customer-churn-prediction","title":"Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry","date":"2024-11-03","arxiv_id":"2411.01447","repositories_listed":0,"syntology":null},{"url":null,"slug":"strategic-conformal-prediction","title":"Strategic Conformal Prediction","date":"2024-11-03","arxiv_id":"2411.01596","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-aware-learning-for-reliable-face","title":"Confidence Aware Learning for Reliable Face Anti-spoofing","date":"2024-11-02","arxiv_id":"2411.01263","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-measurement-for-complex-event","title":"Uncertainty measurement for complex event prediction in safety-critical systems","date":"2024-11-02","arxiv_id":"2411.01289","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-kan-based-interpretable-framework-for","title":"A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential","date":"2024-11-01","arxiv_id":"2411.00426","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-granularity-supervised-contrastive","title":"A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines","date":"2024-11-01","arxiv_id":"2411.00461","repositories_listed":0,"syntology":null},{"url":null,"slug":"demo-multi-modal-seizure-prediction-system","title":"Demo: Multi-Modal Seizure Prediction System","date":"2024-11-01","arxiv_id":"2411.05817","repositories_listed":0,"syntology":null},{"url":null,"slug":"pathogen-x-a-cross-modal-genomic-feature","title":"PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images","date":"2024-11-01","arxiv_id":"2411.00749","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-in-next-token-prediction","title":"Physics in Next-token Prediction","date":"2024-11-01","arxiv_id":"2411.00660","repositories_listed":0,"syntology":null},{"url":null,"slug":"provable-length-generalization-in-sequence","title":"Provable Length Generalization in Sequence Prediction via Spectral Filtering","date":"2024-11-01","arxiv_id":"2411.01035","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-training-for-selective-prediction","title":"Joint Training for Selective Prediction","date":"2024-10-31","arxiv_id":"2410.24029","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-models-for-si-nanoparticle","title":"Machine learning models for Si nanoparticle growth in nonthermal plasma","date":"2024-10-31","arxiv_id":"2501.00003","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-prediction-using-score-based","title":"Video prediction using score-based conditional density estimation","date":"2024-10-30","arxiv_id":"2411.00842","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-priors-for-video-quality-prediction","title":"Deep Priors for Video Quality Prediction","date":"2024-10-29","arxiv_id":"2410.22566","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-survival-prediction-in-head-and-neck","title":"Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion","date":"2024-10-29","arxiv_id":"2410.21831","repositories_listed":0,"syntology":null},{"url":null,"slug":"finvision-a-multi-agent-framework-for-stock","title":"FinVision: A Multi-Agent Framework for Stock Market Prediction","date":"2024-10-29","arxiv_id":"2411.08899","repositories_listed":0,"syntology":null},{"url":null,"slug":"synergizing-llm-agents-and-knowledge-graph","title":"Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN","date":"2024-10-29","arxiv_id":"2411.00028","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-traffic-analysis-and-delay","title":"Graph Based Traffic Analysis and Delay Prediction","date":"2024-10-28","arxiv_id":"2410.21028","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-sparsification-for-enhanced-conformal","title":"Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks","date":"2024-10-28","arxiv_id":"2410.21618","repositories_listed":0,"syntology":null},{"url":null,"slug":"linformer-a-linear-based-lightweight","title":"LinFormer: A Linear-based Lightweight Transformer Architecture For Time-Aware MIMO Channel Prediction","date":"2024-10-28","arxiv_id":"2410.21351","repositories_listed":0,"syntology":null},{"url":null,"slug":"strada-llm-graph-llm-for-traffic-prediction","title":"Strada-LLM: Graph LLM for traffic prediction","date":"2024-10-28","arxiv_id":"2410.20856","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-specific-data-distillation-and-multi","title":"Domain Specific Data Distillation and Multi-modal Embedding Generation","date":"2024-10-27","arxiv_id":"2410.20325","repositories_listed":0,"syntology":null},{"url":null,"slug":"firp-faster-llm-inference-via-future","title":"FIRP: Faster LLM inference via future intermediate representation prediction","date":"2024-10-27","arxiv_id":"2410.20488","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-mortality-and-functional-status","title":"Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning","date":"2024-10-27","arxiv_id":"2410.20300","repositories_listed":0,"syntology":null},{"url":null,"slug":"just-propagate-unifying-matrix-factorization","title":"Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Prediction","date":"2024-10-26","arxiv_id":"2410.21325","repositories_listed":0,"syntology":null},{"url":null,"slug":"air-quality-prediction-with-physics-informed","title":"Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems","date":"2024-10-25","arxiv_id":"2410.19892","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-financial-risk-behavior","title":"Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms","date":"2024-10-25","arxiv_id":"2410.19394","repositories_listed":0,"syntology":null},{"url":null,"slug":"demuvgn-effective-software-defect-prediction","title":"DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks","date":"2024-10-25","arxiv_id":"2410.19550","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-motion-prediction-using-temporal","title":"Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation","date":"2024-10-25","arxiv_id":"2410.19606","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-investigation-on-machine-learning","title":"An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation","date":"2024-10-24","arxiv_id":"2410.19063","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-based-citywide-electric-vehicle","title":"Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences","date":"2024-10-24","arxiv_id":"2410.18766","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-graph-learning-for-drug-drug","title":"Benchmarking Graph Learning for Drug-Drug Interaction Prediction","date":"2024-10-24","arxiv_id":"2410.18583","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-self-supervision-rejuvenate-similarity","title":"Can Self Supervision Rejuvenate Similarity-Based Link Prediction?","date":"2024-10-24","arxiv_id":"2410.19183","repositories_listed":0,"syntology":null},{"url":null,"slug":"cascading-failure-prediction-via-causal","title":"Cascading Failure Prediction via Causal Inference","date":"2024-10-24","arxiv_id":"2410.19179","repositories_listed":0,"syntology":null},{"url":null,"slug":"gene-metabolite-association-prediction-with","title":"Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production","date":"2024-10-24","arxiv_id":"2410.18475","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-am-i-and-what-will-i-see-an-auto","title":"Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction","date":"2024-10-24","arxiv_id":"2410.18962","repositories_listed":0,"syntology":null},{"url":null,"slug":"anomaly-resilient-temporal-qos-prediction","title":"Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network","date":"2024-10-23","arxiv_id":"2410.17762","repositories_listed":0,"syntology":null},{"url":null,"slug":"future-token-prediction-causal-language","title":"Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction","date":"2024-10-23","arxiv_id":"2410.18160","repositories_listed":0,"syntology":null},{"url":null,"slug":"traj-explainer-an-explainable-and-robust","title":"Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach","date":"2024-10-22","arxiv_id":"2410.16795","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-time-series-anomaly-prediction","title":"Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning","date":"2024-10-22","arxiv_id":"2410.16888","repositories_listed":0,"syntology":null},{"url":null,"slug":"critical-example-mining-for-vehicle","title":"Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models","date":"2024-10-21","arxiv_id":"2410.16083","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-performance-of-a-d-wave","title":"Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction","date":"2024-10-21","arxiv_id":"2410.16469","repositories_listed":0,"syntology":null},{"url":null,"slug":"hotel-booking-cancellation-prediction-using","title":"Hotel Booking Cancellation Prediction Using Applied Bayesian Models","date":"2024-10-21","arxiv_id":"2410.16406","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-concurrent-rtp-flows-for-end-to-end","title":"Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications","date":"2024-10-21","arxiv_id":"2410.15846","repositories_listed":0,"syntology":null},{"url":null,"slug":"multirc-joint-learning-for-time-series","title":"MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast","date":"2024-10-21","arxiv_id":"2410.15997","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparc-prediction-based-safe-control-for","title":"SPARC: Prediction-Based Safe Control for Coupled Controllable and Uncontrollable Agents with Conformal Predictions","date":"2024-10-21","arxiv_id":"2410.15660","repositories_listed":0,"syntology":null},{"url":null,"slug":"wildocc-a-benchmark-for-off-road-3d-semantic","title":"WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Prediction","date":"2024-10-21","arxiv_id":"2410.15792","repositories_listed":0,"syntology":null},{"url":null,"slug":"yeah-un-oh-continuous-and-real-time","title":"Yeah, Un, Oh: Continuous and Real-time Backchannel Prediction with Fine-tuning of Voice Activity Projection","date":"2024-10-21","arxiv_id":"2410.15929","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-uncertainty-quantification-for","title":"Conditional Uncertainty Quantification for Tensorized Topological Neural Networks","date":"2024-10-20","arxiv_id":"2410.15241","repositories_listed":0,"syntology":null},{"url":null,"slug":"eva-an-embodied-world-model-for-future-video","title":"EVA: An Embodied World Model for Future Video Anticipation","date":"2024-10-20","arxiv_id":"2410.15461","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-prediction-for-count","title":"High-dimensional prediction for count response via sparse exponential weights","date":"2024-10-20","arxiv_id":"2410.15381","repositories_listed":0,"syntology":null},{"url":null,"slug":"triz-method-for-urban-building-energy","title":"TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model","date":"2024-10-20","arxiv_id":"2410.15283","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-weather-forecasting-a-cnn","title":"Deep Learning for Weather Forecasting: A CNN-LSTM Hybrid Model for Predicting Historical Temperature Data","date":"2024-10-19","arxiv_id":"2410.14963","repositories_listed":0,"syntology":null},{"url":null,"slug":"dst-transitnet-a-dynamic-spatio-temporal-deep","title":"DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership","date":"2024-10-19","arxiv_id":"2410.15013","repositories_listed":0,"syntology":null},{"url":null,"slug":"bin-conditional-conformal-prediction-of","title":"Bin-Conditional Conformal Prediction of Fatalities from Armed Conflict","date":"2024-10-18","arxiv_id":"2410.14507","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-cryptocurrency-market-forecasting","title":"Enhancing Cryptocurrency Market Forecasting: Advanced Machine Learning Techniques and Industrial Engineering Contributions","date":"2024-10-18","arxiv_id":"2410.14475","repositories_listed":0,"syntology":null},{"url":null,"slug":"extreme-precipitation-nowcasting-using-multi","title":"Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models","date":"2024-10-18","arxiv_id":"2410.14103","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-action-anticipation-a-survey","title":"Human Action Anticipation: A Survey","date":"2024-10-17","arxiv_id":"2410.14045","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-probabilistic-conformal-prediction","title":"Generative Conformal Prediction with Vectorized Non-Conformity Scores","date":"2024-10-17","arxiv_id":"2410.13735","repositories_listed":0,"syntology":null},{"url":null,"slug":"satellite-streaming-video-qoe-prediction-a","title":"Satellite Streaming Video QoE Prediction: A Real-World Subjective Database and Network-Level Prediction Models","date":"2024-10-17","arxiv_id":"2410.13952","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-and-data-efficient-toxicity","title":"Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree","date":"2024-10-16","arxiv_id":"2410.12217","repositories_listed":0,"syntology":null},{"url":null,"slug":"in-context-learning-enables-robot-action","title":"In-Context Learning Enables Robot Action Prediction in LLMs","date":"2024-10-16","arxiv_id":"2410.12782","repositories_listed":0,"syntology":null},{"url":null,"slug":"metal-price-spike-prediction-via-a","title":"Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach","date":"2024-10-16","arxiv_id":"2410.12785","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-prediction-and-risk-management-of","title":"Modeling, Prediction and Risk Management of Distribution System Voltages with Non-Gaussian Probability Distributions","date":"2024-10-16","arxiv_id":"2410.12438","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-and-application-of-cloud-based","title":"Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction","date":"2024-10-16","arxiv_id":"2410.12642","repositories_listed":0,"syntology":null},{"url":null,"slug":"sam-guided-masked-token-prediction-for-3d","title":"SAM-Guided Masked Token Prediction for 3D Scene Understanding","date":"2024-10-16","arxiv_id":"2410.12158","repositories_listed":0,"syntology":null},{"url":null,"slug":"tradexpert-revolutionizing-trading-with","title":"TradExpert: Revolutionizing Trading with Mixture of Expert LLMs","date":"2024-10-16","arxiv_id":"2411.00782","repositories_listed":0,"syntology":null},{"url":null,"slug":"biologically-inspired-swarm-dynamic-target","title":"Biologically Inspired Swarm Dynamic Target Tracking and Obstacle Avoidance","date":"2024-10-15","arxiv_id":"2410.11237","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-deep-learning-and-conventional","title":"Comparison of deep learning and conventional methods for disease onset prediction","date":"2024-10-14","arxiv_id":"2410.10505","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-series-viewmakers-for-robust-disruption","title":"Time Series Viewmakers for Robust Disruption Prediction","date":"2024-10-14","arxiv_id":"2410.11065","repositories_listed":0,"syntology":null},{"url":null,"slug":"unigem-a-unified-approach-to-generation-and","title":"UniGEM: A Unified Approach to Generation and Property Prediction for Molecules","date":"2024-10-14","arxiv_id":"2410.10516","repositories_listed":0,"syntology":null},{"url":null,"slug":"inductive-conformal-prediction-under-data","title":"Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures","date":"2024-10-13","arxiv_id":"2410.09894","repositories_listed":0,"syntology":null},{"url":null,"slug":"provably-reliable-conformal-prediction-sets","title":"Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning","date":"2024-10-13","arxiv_id":"2410.09878","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffutraj-a-stochastic-vessel-trajectory","title":"DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process","date":"2024-10-12","arxiv_id":"2410.09550","repositories_listed":0,"syntology":null},{"url":null,"slug":"bank-loan-prediction-using-machine-learning","title":"Bank Loan Prediction Using Machine Learning Techniques","date":"2024-10-11","arxiv_id":"2410.08886","repositories_listed":0,"syntology":null},{"url":null,"slug":"conformalized-interactive-imitation-learning","title":"Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback","date":"2024-10-11","arxiv_id":"2410.08852","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-memory-aware-q-distribution","title":"Exploiting Memory-aware Q-distribution Prediction for Nuclear Fusion via Modern Hopfield Network","date":"2024-10-11","arxiv_id":"2410.08889","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifted-coefficient-of-determination-fast","title":"Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison","date":"2024-10-11","arxiv_id":"2410.08958","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-fusion-based-q-distribution","title":"Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion","date":"2024-10-11","arxiv_id":"2410.08879","repositories_listed":0,"syntology":null},{"url":null,"slug":"nextlocllm-next-location-prediction-using","title":"nextlocllm: next location prediction using LLMs","date":"2024-10-11","arxiv_id":"2410.09129","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-trustworthy-knowledge-graph-reasoning","title":"Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective","date":"2024-10-11","arxiv_id":"2410.08985","repositories_listed":0,"syntology":null},{"url":null,"slug":"fddm-frequency-decomposed-diffusion-model-for","title":"FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy","date":"2024-10-10","arxiv_id":"2410.07876","repositories_listed":0,"syntology":null},{"url":null,"slug":"sample-then-identify-a-general-framework-for","title":"Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models","date":"2024-10-10","arxiv_id":"2410.08174","repositories_listed":0,"syntology":null},{"url":null,"slug":"conformal-prediction-a-data-perspective","title":"Conformal Prediction: A Data Perspective","date":"2024-10-09","arxiv_id":"2410.06494","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-adaptive-dual-domain-prediction-strategy","title":"An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization","date":"2024-10-08","arxiv_id":"2410.05787","repositories_listed":0,"syntology":null},{"url":null,"slug":"e3sto-orbital-inspired-se-3-equivariant","title":"E3STO: Orbital Inspired SE(3)-Equivariant Molecular Representation for Electron Density Prediction","date":"2024-10-08","arxiv_id":"2410.06119","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-fine-grained-behavioral-and","title":"Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices","date":"2024-10-08","arxiv_id":"2410.18091","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-gradient-boosting-classifier","title":"Understanding Gradient Boosting Classifier: Training, Prediction, and the Role of $γ_j$","date":"2024-10-08","arxiv_id":"2410.05623","repositories_listed":0,"syntology":null}],"record_sha256":"11710f18525beb8c0f67472fd85be70b4a489d0f92439c99543f8add68a684b1","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}