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Stochastic Processes
🎲 Stochastic Processes
Markov chains, diffusion, martingales, random walk
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45
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A coupling-based approach to f-divergences diagnostics for
Markov
chain
Monte Carlo
🎲
Probability
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo
Optimisation over
non-stationary
distributions
creates weirder minds
🎮
Reinforcement Learning
lesswrong.com
·
4d
4 days ago
Actions for Optimisation over non-stationary distributions creates weirder minds
Backward Coherence and
Hidden-State
Stability in Recurrent Neural Networks: A
Quasi-Reverse-Martingale
Theory
🤖
AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory
Less-relevant results
Who Will Win the 2026 Soccer World Cup?
🤖
Machine Learning
towardsdatascience.com
·
4d
4 days ago
Actions for Who Will Win the 2026 Soccer World Cup?
Time Evolution of Heat Conduction in a Generalized Model of
Brownian
Motion
⚛️
Physics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Time Evolution of Heat Conduction in a Generalized Model of Brownian Motion
A Continuous-Time
Markov
Chain
Framework for Insertion Language Models
🤖
AI
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for A Continuous-Time Markov Chain Framework for Insertion Language Models
Operator learning for solving
Fokker-Planck
equations
with various initial conditions
🤖
AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Operator learning for solving Fokker-Planck equations with various initial conditions
Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling
🎲
Bayesian Inference
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling
Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps
Nonreversible Gauge Fields in
Fokker
--
Planck
Dynamics: Supersymmetric Hamiltonians and Learned Finite Forces
⚛️
Physics
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Nonreversible Gauge Fields in Fokker--Planck Dynamics: Supersymmetric Hamiltonians and Learned Finite Forces
Time-Averaged Drift Approximations are Inconsistent for Inference in Drift
Diffusion
Models
🤖
AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Time-Averaged Drift Approximations are Inconsistent for Inference in Drift Diffusion Models
Making Recursive Bayesian Inference Robust
🎲
Probability
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Making Recursive Bayesian Inference Robust
Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises
➗
math
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises
Data assimilation for subsurface flow using latent
diffusion
model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
🤖
AI
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques
Semi-Parametric Inference for Doubly
Stochastic
Spatial Point
Processes
: An Approximate Penalized
Poisson
Likelihood Approach
📊
Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
Euler Scheme for
Stochastic
Functional Differential
Equations
Driven by Fractional
Brownian
Motion via Fractional Calculus Techniques
📊
Quantitative Finance
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Euler Scheme for Stochastic Functional Differential Equations Driven by Fractional Brownian Motion via Fractional Calculus Techniques
Predictable Mean-Field Chaos in
Random
Recurrent Networks
🤖
AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Predictable Mean-Field Chaos in Random Recurrent Networks
Neural Galerkin Normalizing Flows for Bayesian Inference of
Diffusions
with Inaccessible Boundaries
🎲
Bayesian Inference
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries
Parameter estimation in generalized fractional neuronal models
📊
Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Parameter estimation in generalized fractional neuronal models
Finite-n Estimate of Dedekind Numbers by Layer-Ratio Monte Carlo
🎲
Probability
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Finite-n Estimate of Dedekind Numbers by Layer-Ratio Monte Carlo
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