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TitleStatusHype
Unconditional Randomization Tests for Interference—0
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification—0
MambaFoley: Foley Sound Generation using Selective State-Space ModelsCode0
Analysis of Potential Biases and Validity of Studies Using Multiverse Approaches to Assess the Impacts of Government Responses to Epidemics—0
Statistically Valid Information Bottleneck via Multiple Hypothesis Testing—0
Exploring syntactic information in sentence embeddings through multilingual subject-verb agreement—0
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and CorrespondencesCode0
NSP: A Neuro-Symbolic Natural Language Navigational Planner—0
Improving Conditional Level Generation using Automated Validation in Match-3 Games—0
The Surprising Robustness of Partial Least Squares—0
Inference for Large Scale Regression Models with Dependent Errors—0
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models—0
Leveraging Machine Learning for Official Statistics: A Statistical Manifesto—0
Federated Prediction-Powered Inference from Decentralized DataCode0
An essay on the history of DSGE models—0
Stochastic Monotonicity and Random Utility Models: The Good and The Ugly—0
The creative psychometric item generator: a framework for item generation and validation using large language models—0
Self-supervised learning for crystal property prediction via denoising—0
Continual learning with the neural tangent ensemble—0
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration—0
EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory—0
Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent—0
Double/Debiased CoCoLASSO of Treatment Effects with Mismeasured High-Dimensional Control Variables—0
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification—0
Can You Trust Your Metric? Automatic Concatenation-Based Tests for Metric Validity—0
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning—0
Learning Deep Dissipative DynamicsCode0
Optical ISAC: Fundamental Performance Limits and Transceiver Design—0
A Markovian Model for Learning-to-Optimize—0
Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots—0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
Inference with Many Weak Instruments and Heterogeneity—0
On Learning Action Costs from Input Plans—0
Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action MaskingCode0
Importance Weighting Can Help Large Language Models Self-ImproveCode0
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems—0
GraphSPNs: Sum-Product Networks Benefit From Canonical OrderingsCode0
Generating Automatically Print/Scan Textures for Morphing Attack Detection ApplicationsCode0
Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters—0
Externally Valid Selection of Experimental Sites via the k-Median Problem—0
A Confidence Interval for the _2 Expected Calibration ErrorCode0
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models—0
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut ProblemCode0
Evaluating the Validity of Word-level Adversarial Attacks with Large Language ModelsCode0
QirK: Question Answering via Intermediate Representation on Knowledge Graphs—0
Defining and Measuring Disentanglement for non-Independent Factors of Variation—0
Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive AttributesCode0
Design Proteins Using Large Language Models: Enhancements and Comparative AnalysesCode0
Correcting invalid regression discontinuity designs with multiple time period data—0
People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy—0
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