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TitleStatusHype
Uncertainty Quantification for Sparse Deep Learning—0
Molecular recognition between cadherins studied by a coarse-grained model interacting with a coevolutionary potential—0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
An Assignment Problem Formulation for Dominance Move Indicator—0
Permutation Inference for Canonical Correlation AnalysisCode1
Handling the Positive-Definite Constraint in the Bayesian Learning RuleCode0
Lagrangian Decomposition for Neural Network VerificationCode0
Learning Interpretable Error Functions for Combinatorial Optimization Problem ModelingCode0
Hyperbolic Minesweeper is in P—0
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic ProgrammingCode0
Generalisation error in learning with random features and the hidden manifold model—0
Data Transformation Insights in Self-supervision with Clustering Tasks—0
Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data—0
Efficient Adaptive Experimental Design for Average Treatment Effect Estimation—0
The PHOTON Wizard -- Towards Educational Machine Learning Code Generators—0
Testing Continuity of a Density via g-order statistics in the Regression Discontinuity Design—0
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning—0
Online Covariance Matrix Estimation in Stochastic Gradient Descent—0
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization—0
Large Hole Image Inpainting With Compress-Decompression Network—0
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions—0
GraphAF: a Flow-based Autoregressive Model for Molecular Graph GenerationCode1
The reproducing Stein kernel approach for post-hoc corrected sampling—0
Optimal estimation of sparse topic models—0
Autocamera Calibration for traffic surveillance cameras with wide angle lenses—0
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