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Showing 1751–1800 of 8760 papers

TitleStatusHype
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison—0
HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction—0
Flow-based Conformal Prediction for Multi-dimensional Time Series—0
Rethinking Link Prediction for Directed GraphsCode0
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction—0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models—0
Prediction-Powered E-Values—0
CAST: Cross Attention based multimodal fusion of Structure and Text for materials property prediction—0
Multivariate Conformal Prediction using Optimal Transport—0
Machine Learning-Driven Student Performance Prediction for Enhancing Tiered Instruction—0
OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Prediction—0
Conditional Prediction by Simulation for Automated Driving—0
Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization—0
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in SoccerCode0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Constrained belief updates explain geometric structures in transformer representations—0
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference—0
ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction—0
Rethinking Timesteps Samplers and Prediction Types—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Reasoning Bias of Next Token Prediction Training—0
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care—0
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach—0
Learning to Partially Defer for Sequences—0
Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration—0
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis—0
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density PredictionCode0
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization—0
Learning Hamiltonian Dynamics with Bayesian Data Assimilation—0
Privacy Preserving Charge Location Prediction for Electric Vehicles—0
Conformal Prediction in Hierarchical Classification—0
The Value of Prediction in Identifying the Worst-Off—0
Optimal Transport-based Conformal Prediction—0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach—0
Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect—0
BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics—0
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network—0
Robust Online Conformal Prediction under Uniform Label Noise—0
Guaranteed confidence-band enclosures for PDE surrogates—0
ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction NetworksCode0
Stream-Based Monitoring of Algorithmic Fairness—0
Exploring Large Protein Language Models in Constrained Evaluation Scenarios within the FLIP Benchmark—0
Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation—0
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks—0
Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning—0
A two-stage dual-task learning strategy for early prediction of pathological complete response to neoadjuvant chemotherapy for breast cancer using dynamic contrast-enhanced magnetic resonance images—0
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All datasetsQM9Synthetic

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RELATIONFORMEREdit Distance9.15—Unverified
2ANY2GRAPHEdit Distance3.44—Unverified
3FGWBARY-ILE + FDEdit Distance2.84—Unverified
4ANY2GRAPH + FDEdit Distance2.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CW-CNNRMSE1.15—Unverified
2CW-ATRMSE0.03—Unverified