Birkhoff interpolation framework for arbitrary derivative-availability patterns in local polynomial models, with poisedness conditions, accuracy bounds, and a trust-region algorithm evaluated on CUTEst problems.
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10 Pith papers cite this work, alongside 2,216 external citations. Polarity classification is still indexing.
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Scalable IP formulations for optimal vertex elimination allow heuristic benchmarking on medium graphs and deliver a parameterized approximation algorithm plus first lower bounds.
ADELIA is the first AD-enabled INLA system that computes exact hyperparameter gradients via a structure-exploiting multi-GPU backward pass, delivering 4.2-7.9x per-gradient speedups and 5-8x better energy efficiency than finite differences on models with up to 1.9 million latent variables.
HIcosmo is a new JAX-based differentiable framework for background cosmology inference that matches Cobaya results while delivering 8.7x CPU and up to 20x GPU speedups.
LTBs-KAN delivers linear-time B-spline evaluation in KANs plus parameter reduction via product-of-sums factorization, with competitive results on MNIST, Fashion-MNIST, and CIFAR-10.
Prefix parsing is solved by a grammar transformation that turns it into standard parsing on a slightly larger grammar.
The volume of central diagonal hyperplane sections of the unit n-cube is strictly monotonically increasing in n for n ≥ 3.
AATS is an asynchronous Taylor integration framework for multi-rate DDEs that claims O(N) complexity, continuous convergence, and zero-allocation memory via static circular buffers.
Controlled benchmarks show per-step residual correction (A2C2) as most effective for VLA asynchronous inference up to d=8 delays on Kinetix with over 90% solve rate, outperforming inpainting and conditioning while training-based simulation is most robust.
PEPSKit.jl is a Julia package that supplies high-level algorithms for ground-state, time-evolution and finite-temperature iPEPS simulations with symmetry support on various lattices.
citing papers explorer
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Birkhoff interpolation models for optimization with some available derivatives
Birkhoff interpolation framework for arbitrary derivative-availability patterns in local polynomial models, with poisedness conditions, accuracy bounds, and a trust-region algorithm evaluated on CUTEst problems.
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A Comprehensive Evaluation of Vertex Elimination Algorithms for Algorithmic Differentiation
Scalable IP formulations for optimal vertex elimination allow heuristic benchmarking on medium graphs and deliver a parameterized approximation algorithm plus first lower bounds.
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ADELIA: Automatic Differentiation for Efficient Laplace Inference Approximations
ADELIA is the first AD-enabled INLA system that computes exact hyperparameter gradients via a structure-exploiting multi-GPU backward pass, delivering 4.2-7.9x per-gradient speedups and 5-8x better energy efficiency than finite differences on models with up to 1.9 million latent variables.
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HIcosmo: a differentiable JAX-based framework for cosmology inference
HIcosmo is a new JAX-based differentiable framework for background cosmology inference that matches Cobaya results while delivering 8.7x CPU and up to 20x GPU speedups.
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LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks
LTBs-KAN delivers linear-time B-spline evaluation in KANs plus parameter reduction via product-of-sums factorization, with competitive results on MNIST, Fashion-MNIST, and CIFAR-10.
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Prefix Parsing is Just Parsing
Prefix parsing is solved by a grammar transformation that turns it into standard parsing on a slightly larger grammar.
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Central diagonal sections of the $n$-cube
The volume of central diagonal hyperplane sections of the unit n-cube is strictly monotonically increasing in n for n ≥ 3.
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An Asynchronous multi-rate Taylor method for Delay Differential Equations
AATS is an asynchronous Taylor integration framework for multi-rate DDEs that claims O(N) complexity, continuous convergence, and zero-allocation memory via static circular buffers.
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Understanding Asynchronous Inference Methods for Vision-Language-Action Models
Controlled benchmarks show per-step residual correction (A2C2) as most effective for VLA asynchronous inference up to d=8 delays on Kinetix with over 90% solve rate, outperforming inpainting and conditioning while training-based simulation is most robust.
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PEPSKit.jl: A Julia package for projected entangled-pair state simulations
PEPSKit.jl is a Julia package that supplies high-level algorithms for ground-state, time-evolution and finite-temperature iPEPS simulations with symmetry support on various lattices.