📊 Statistics - Nakeddave02 · Scour

🤖Machine Learning arxiv.org·

Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces

🔬Deep Learning arxiv.org·

Score-Based Martingale Posteriors for Deep Neural Networks

🔬Deep Learning arxiv.org·

Bayesian Magnetic Resonance Joint Image Reconstruction and Uncertainty Quantification using Sparsity Prior Models and Markov Chain Monte Carlo Sampling

🧮Algorithms arxiv.org·

Phase Transition in Convex Relaxations for Graph Alignment

⚛️Quantum Computing arxiv.org·

Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer

♟️Game Theory arxiv.org·

Consistency of Variational Inference for Nonlinear Inverse Problems of Partial Differential Equations

⚛️Quantum Computing arxiv.org·

Detecting basis-dependent hardware errors through spatio-temporal quantum steering

🎲Procedural Generation arxiv.org·

Proximal Policy Optimization for Amortized Discrete Sampling

🔢Math arxiv.org·

Geometry-Driven Islanding Detection and Fault Classification for Grid-Forming Inverters: A Normally Hyperbolic Invariant Manifold Framework with Physics-Derived...

🤖LLMs arxiv.org·

Pilot-Aided MIMO Channel Identification and Linear Deconvolution in Correlated Gaussian Noise

⚛️Quantum Computing arxiv.org·

Quantum Illumination with Symmetry-Constrained Random Unitaries

🔬Science arxiv.org·

Machine Learning and the Random Walk Puzzle: Forecasting the CAD/USD Exchange Rate with Expanding Window Evaluation and SHAP Interpretability

🧮Algorithms arxiv.org·

A Hypothesis-Testing Analysis of Blind Recognition for Polar Codes

🤖LLMs arxiv.org·

Flexible modeling of bimodal distributions via skewed-$t$ mixtures

🤖AI arxiv.org·

Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations

🔬Deep Learning arxiv.org·

AIA: A 16nm Multicore SoC for Approximate Inference Acceleration Exploiting Non-normalized Knuth-Yao Sampling and Inter-Core Register Sharing

🤖Machine Learning arxiv.org·

Neural network surrogates with uncertainty quantification for inverse problems in partial differential equations

🧮Algorithms arxiv.org·

Probability Bound Analysis for Dependence Uncertainty in Risk and Decision Models

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