Cover Image

A Probabilistic Approach to Pose Synchronization for Multi-Reference Alignment with Applications to MIMO Wireless Communication Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Romijnders, Rob, Cesa, Gabriele, Louizos, Christos, Pratik, Kumar, Behboodi, Arash
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
by: Marchetti, Giovanni Luca, et al.
Published: (2023)

On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
by: Behboodi, Arash, et al.
Published: (2024)

Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving
by: Rajaee, Sara, et al.
Published: (2025)

Variational Learning ISTA
by: Massoli, Fabio Valerio, et al.
Published: (2024)

Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting
by: Nag, Pratik
Published: (2025)

Protect Your Score: Contact Tracing With Differential Privacy Guarantees
by: Romijnders, Rob, et al.
Published: (2023)

DNA: Differentially private Neural Augmentation for contact tracing
by: Romijnders, Rob, et al.
Published: (2024)

An Information Theoretic Perspective on Conformal Prediction
by: Correia, Alvaro H. C., et al.
Published: (2024)

Private PoEtry: Private In-Context Learning via Product of Experts
by: Romijnders, Rob, et al.
Published: (2026)

A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
by: Veefkind, Lars, et al.
Published: (2024)

Adaptive Multi-task Learning for Probabilistic Load Forecasting
by: Zaballa, Onintze, et al.
Published: (2025)

Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring
by: Fiocchi, Filippo, et al.
Published: (2024)

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits
by: Khisti, Ashish, et al.
Published: (2024)

Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
by: Ravi, Aditya Narayan, et al.
Published: (2019)

Fundamental bounds on efficiency-confidence trade-off for transductive conformal prediction
by: Behboodi, Arash, et al.
Published: (2025)

ReQuestNet: A Foundational Learning model for Channel Estimation
by: Pratik, Kumar, et al.
Published: (2025)

Simplifying Random Forests' Probabilistic Forecasts
by: Koster, Nils, et al.
Published: (2024)

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
by: Wang, Xinyi, et al.
Published: (2024)

Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
by: Kashyap, Sahil, et al.
Published: (2025)

Multi-task Modeling for Engineering Applications with Sparse Data
by: Comlek, Yigitcan, et al.
Published: (2026)

Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy
by: Romijnders, Rob, et al.
Published: (2024)

Probabilistic Spatial Interpolation of Sparse Data using Diffusion Models
by: Tsao, Valerie, et al.
Published: (2025)

Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
by: Zhou, Wenbin, et al.
Published: (2024)

Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)

Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
by: Liang, Biyonka, et al.
Published: (2024)

Probabilistic intraday electricity price forecasting using generative machine learning
by: Chen, Jieyu, et al.
Published: (2025)

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)

Pose Tracking with a Foundation Pose Model and an Ensemble Directional Kalman Filter
by: Lu, Tianlu, et al.
Published: (2026)

Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems
by: Lacoste, Louis, et al.
Published: (2025)

Probabilistic Wind Power Modelling via Heteroscedastic Non-Stationary Gaussian Processes
by: Ladopoulou, Domniki, et al.
Published: (2025)

Joint Progression Modeling (JPM): A Probabilistic Framework for Mixed-Pathology Progression
by: Hao, Hongtao, et al.
Published: (2025)

Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
by: Dodson, Archer, et al.
Published: (2025)

Multivariate Probabilistic CRPS Learning with an Application to Day-Ahead Electricity Prices
by: Berrisch, Jonathan, et al.
Published: (2023)

Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
by: Pillai, Srijesh, et al.
Published: (2025)

Long-Term Probabilistic Forecast of Vegetation Conditions Using Climate Attributes in the Four Corners Region
by: McPhillips, Erika, et al.
Published: (2026)

Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
by: Xie, Rui, et al.
Published: (2023)

Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
by: Lindas, Eloi, et al.
Published: (2025)

Probabilistic Classification of Near-Surface Shallow-Water Sediments using A Portable Free-Fall Penetrometer
by: Rahman, Md Rejwanur, et al.
Published: (2024)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)

Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
by: Lee, Cheolhei, et al.
Published: (2026)