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
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
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
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