Researchers Blend Probability and Pattern Theory in New Study Post date October 14, 2025 Post author By Probabilistic Post categories In bernoulli-random-variable, explicit-expressions, lah-bell-polynomials, moment-generating-function, poisson-distribution, probabilistic-lah-numbers, probability, recurrence-relations
Why “Classical Excess” Could Be the Next Big Tool in Quantum Research Post date September 24, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
Does Quantum Theory Hide a Secret Heat Signature? Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
Does Quantum Theory Hide a Secret Heat Signature? Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
Contextuality 101: What “POM Success Probability” Means for AI Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
The Math Behind GPT Systems and Their Ontological Models Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
Understanding Contextuality in General Probabilistic Theories Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
A New Hierarchy of Contextuality in Quantum Foundations Post date September 23, 2025 Post author By Probabilistic Post categories In classical-excess, contextuality-monotones, general-probabilistic-theories, prepare-and-measure-scenarios, quantum-contextuality, quantum-information-theory, resource-theory, univalent-simulations
educe Truth Bias and Speed Up Unfolding with Moment‑Conditioned Diffusion Post date September 7, 2025 Post author By Probabilistic Post categories In conditional-ddpm, detector-effects, high-energy-physics-(hep), lhc-and-collider-experiments, machine-learning-in-physics, physics-data-analysis, statistical-inference, unfolding-methods
A Conditional Diffusion Approach to Multidimensional Unfolding Across Physics Processes Post date September 7, 2025 Post author By Probabilistic Post categories In conditional-ddpm, detector-effects, high-energy-physics-(hep), lhc-and-collider-experiments, machine-learning-in-physics, physics-data-analysis, statistical-inference, unfolding-methods
When Graphs Have Gaps: LIFAGU Finds Symmetry and Speeds Up Inference Post date August 26, 2025 Post author By Probabilistic Post categories In factor-graphs, lifagu-algorithm, lifting-algorithms, probabilistic-graphical-models, probabilistic-inference, symmetry-detection, unknown-factors, weisfeiler-leman-algorithm
When Some Factors Go Missing, LIFAGU Finds the Symmetries Post date August 26, 2025 Post author By Probabilistic Post categories In factor-graphs, lifagu-algorithm, lifting-algorithms, probabilistic-graphical-models, probabilistic-inference, symmetry-detection, unknown-factors, weisfeiler-leman-algorithm
LIFAGU: Lifted Probabilistic Inference in Factor Graphs with Unknown Factors Post date August 25, 2025 Post author By Probabilistic Post categories In factor-graphs, lifagu-algorithm, lifting-algorithms, probabilistic-graphical-models, probabilistic-inference, symmetry-detection, unknown-factors, weisfeiler-leman-algorithm
LIFAGU: Lifted Probabilistic Inference in Factor Graphs with Unknown Factors Post date August 25, 2025 Post author By Probabilistic Post categories In factor-graphs, lifagu-algorithm, lifting-algorithms, probabilistic-graphical-models, probabilistic-inference, symmetry-detection, unknown-factors, weisfeiler-leman-algorithm
How Fast Is PyJuice? Testing Compilation Speed Across GPUs and Batch Sizes Post date August 25, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
Numerical Validation of UAV‑CRN Optimization: Improved Rates Under Energy and PLoS Constraints Post date August 25, 2025 Post author By Probabilistic Post categories In 3d-trajectory-design, cognitive-radio-networks, energy-constrained-uavs, iot-systems, optimization-algorithms, probabilistic-line-of-sight, transmit-power-control, unmanned-aerial-vehicles
The Future of Tractable Deep Generative Models Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
PyJuice Pushes HMMs and Image Models Beyond State-of-the-Art Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
Optimizing Backpropagation with PC Flows Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
How Block-Based Parallelization Cuts IO and Computation Overhead Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
Key Bottlenecks in PC Parallelization Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
Why Researchers Are Betting on PCs to Power the Next Wave of AI Post date August 24, 2025 Post author By Probabilistic Post categories In block-based-parallelization, efficient-parallelization, gpu-accelerated-computation, memory-efficient-training, probabilistic-circuits-(pcs), probabilistic-inference, pyjuice, scalable-generative-models
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