Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Kavli Affiliate: Matthew Fisher | Summary:Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Bayesian methodologies have been proposed. Predictively oriented (PrO) approaches lift the statistical model $P_θ$ to an (infinite) mixture model $int P_θ; mathrmdQ(θ)$ and fit this predictive distribution […]


Continue.. Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent

Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Kavli Affiliate: Matthew Fisher | Summary:We introduce Illustrator’s Depth, a novel definition of depth that addresses a key challenge in digital content creation: decomposing flat images into editable, ordered layers. Inspired by an artist’s compositional process, illustrator’s depth infers a layer index to each pixel, forming an interpretable image decomposition through a discrete, globally consistent […]


Continue.. Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Kavli Affiliate: Matthew Fisher | Summary:We introduce Illustrator’s Depth, a novel definition of depth that addresses a key challenge in digital content creation: decomposing flat images into editable, ordered layers. Inspired by an artist’s compositional process, illustrator’s depth infers a layer index to each pixel, forming an interpretable image decomposition through a discrete, globally consistent […]


Continue.. Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Aspherical Remnants of Triple and Quadruple Detonations in Binary White Dwarfs

Kavli Affiliate: Lars Bildsten | Summary:White dwarfs which explode by the double-detonation mechanism may have a binary white dwarf donor which is subsequently ignited by its collision with the ejecta. This results in the destruction of the donor via either the triple- or quadruple-detonation mechanism, adding significant mass to the resulting ejecta as well as […]


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Measurement protocol for detecting correlated topological insulators in synthetic quantum systems

Kavli Affiliate: Shenghan Jiang | Summary:Two-dimensional topological insulators, characterized by symmetry-protected anomalous boundary modes, have been generalized to the strongly correlated regime for both bosonic and fermionic systems. As correlated topological insulators (TI) approach experimental realization in quantum simulators, conventional probes, such as transport measurements, are not easily applicable to these synthetic platforms. In this […]


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AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys

Kavli Affiliate: Biao Huang | Summary:Understanding human attitudes, preferences, and behaviors through social surveys is essential for academic research and policymaking. Yet traditional surveys face persistent challenges, including fixed-question formats, high costs, limited adaptability, and difficulties ensuring cross-cultural equivalence. While recent studies explore large language models (LLMs) to simulate survey responses, most are limited to […]


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Fock space prethermalization and time-crystalline order on a quantum processor

Kavli Affiliate: Biao Huang | Summary:Periodically driven quantum many-body systems exhibit a wide variety of exotic nonequilibrium phenomena and provide a promising pathway for quantum applications. A fundamental challenge for stabilizing and harnessing these highly entangled states of matter is system heating by energy absorption from the drive. Here, we propose and demonstrate a disorder-free […]


Continue.. Fock space prethermalization and time-crystalline order on a quantum processor

Fock space prethermalization and time-crystalline order on a quantum processor

Kavli Affiliate: Biao Huang | Summary:Periodically driven quantum many-body systems exhibit a wide variety of exotic nonequilibrium phenomena and provide a promising pathway for quantum applications. A fundamental challenge for stabilizing and harnessing these highly entangled states of matter is system heating by energy absorption from the drive. Here, we propose and demonstrate a disorder-free […]


Continue.. Fock space prethermalization and time-crystalline order on a quantum processor

All-Altermagnetic Tunnel Junction of RuO2/NiF2/RuO2

Kavli Affiliate: Long Zhang | First 5 Authors: Long Zhang, Long Zhang, , , | Summary: Emerging altermagnets offer a promising avenue for spintronics, yet their integration into magnetic tunnel junctions has been hindered by reliance on ferromagnetic electrodes (introducing stray fields) or limited functionality (non-tunable magnetoresistance without spin filtering). Here, we propose an all-altermagnetic […]


Continue.. All-Altermagnetic Tunnel Junction of RuO2/NiF2/RuO2