:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Geng, Yuang, Baldauf, Jake Brandon, Dutta, Souradeep, Huang, Chao, Ruchkin, Ivan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2311.04843
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

Four Principles for Physically Interpretable World Models
di: Peper, Jordan, et al.
Pubblicazione: (2025)

Deterministic World Models for Verification of Closed-loop Vision-based Systems
di: Geng, Yuang, et al.
Pubblicazione: (2025)

Distributionally Robust Statistical Verification with Imprecise Neural Networks
di: Dutta, Souradeep, et al.
Pubblicazione: (2023)

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic
di: Mao, Zhenjiang, et al.
Pubblicazione: (2025)

How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
di: Mao, Zhenjiang, et al.
Pubblicazione: (2023)

Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
di: Mao, Zhenjiang, et al.
Pubblicazione: (2026)

Physically Interpretable World Models via Weakly Supervised Representation Learning
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

Finite-Sample Analysis of Elimination in Active Hypothesis Testing
di: Lin, Ziyuan, et al.
Pubblicazione: (2026)

DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models
di: Lin, Vivian, et al.
Pubblicazione: (2023)

Memory-Consistent Neural Networks for Imitation Learning
di: Sridhar, Kaustubh, et al.
Pubblicazione: (2023)

UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
di: Jeon, Hyeon, et al.
Pubblicazione: (2025)

Confidence-Aware Multi-Field Model Calibration
di: Zhao, Yuang, et al.
Pubblicazione: (2024)

Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
di: Mao, Zhenjiang, et al.
Pubblicazione: (2024)

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
di: Zhao, Michelle, et al.
Pubblicazione: (2024)

Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
di: Zhu, Xiaorui, et al.
Pubblicazione: (2023)

Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
di: Liang, Zhangyong, et al.
Pubblicazione: (2026)

Statistical-Symbolic Verification of Perception-Based Autonomous Systems using State-Dependent Conformal Prediction
di: Geng, Yuang, et al.
Pubblicazione: (2025)

State-Dependent Conformal Perception Bounds for Neuro-Symbolic Verification of Autonomous Systems
di: Waite, Thomas, et al.
Pubblicazione: (2025)

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
di: Nanda, Souradeep, et al.
Pubblicazione: (2025)

High-Dimensional Confidence Regions in Sparse MRI
di: Hoppe, Frederik, et al.
Pubblicazione: (2024)

CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
di: Yang, Chao, et al.
Pubblicazione: (2025)

Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
di: Luo, Yuhong, et al.
Pubblicazione: (2025)

Computing High-dimensional Confidence Sets for Arbitrary Distributions
di: Gao, Chao, et al.
Pubblicazione: (2025)

System-Embedded Diffusion Bridge Models
di: Sobieski, Bartlomiej, et al.
Pubblicazione: (2025)

Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios
di: Lin, Vivian, et al.
Pubblicazione: (2025)

Robust Classification of High-Dimensional Data using Data-Adaptive Energy Distance
di: Choudhury, Jyotishka Ray, et al.
Pubblicazione: (2023)

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains
di: Liang, Zhangyong
Pubblicazione: (2026)

DiffRed: Dimensionality Reduction guided by stable rank
di: Shukla, Prarabdh, et al.
Pubblicazione: (2024)

Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
di: Liang, Zhangyong
Pubblicazione: (2026)

Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning
di: Jeong, Yujin, et al.
Pubblicazione: (2026)

Automating Weak Label Generation for Data Programming with Clinicians in the Loop
di: Park, Jean, et al.
Pubblicazione: (2024)

The Reachability Problem for Neural-Network Control Systems
di: Schilling, Christian, et al.
Pubblicazione: (2024)

Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
di: Ding, Xiucai, et al.
Pubblicazione: (2026)

Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
di: Hafez, Ahmad, et al.
Pubblicazione: (2025)

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization
di: Chen, Yang, et al.
Pubblicazione: (2024)

Incorporating External Controls for Estimating the Average Treatment Effect on the Treated with High-Dimensional Data: Retaining Double Robustness and Ensuring Double Safety
di: Dai, Chi-Shian, et al.
Pubblicazione: (2025)

TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression
di: Baptista, Ricardo, et al.
Pubblicazione: (2024)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
di: Zeng, Cheng, et al.
Pubblicazione: (2025)

An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
di: Huang, Jundi, et al.
Pubblicazione: (2025)