A PVW-based framework predicts viscoelastic crack delay times and crack evolution under arbitrary loads while introducing a path-independent J-integral that yields a generalized Griffith criterion for delayed fracture.
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In: Annals of Operations Research
14 Pith papers cite this work. Polarity classification is still indexing.
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SKILD unifies unconditional image generation and continuous super-resolution in one diffusion model via scale-invariant k-space dynamics where the reverse process handles both tasks by varying only the starting timestep.
Spotted fuses visual similarity with spatio-temporal feasibility scores to boost top-5 ReID accuracy by up to 9 percentage points and reduce expert queries by 69% on hyena and leopard camera trap datasets.
CoStream composes semantic, predictive, and reactive behaviors on an SE(3) interface to enable precise, generalizable performance on eight real-world contact-rich manipulation tasks.
SCORE is a sequential cyclic optimization method for continuous ground station placement that achieves up to 15% higher total downlink throughput than fixed-site approaches and converges with up to 5x fewer evaluations than differential evolution on tested constellations.
OrganicHAR discovers 4-8 activity categories per user from sensor signals, achieves 79% accuracy on coarse activities with ambient sensors alone and cuts VLM queries by 90% by triggering video analysis only at detected pattern moments.
A new non-contact steady-state temperature differential radiometry platform measures molybdenum thermal conductivity from 1500-3000 K with 7.9-11% uncertainty and spectral emittance in solid and liquid states over 500-1000 nm.
PhyEdit improves physical accuracy in image object manipulation by using explicit geometric simulation as 3D-aware guidance combined with joint 2D-3D supervision.
DL-VINS-Factory integrates learned extractors (ALIKED, RaCo, SuperPoint, XFeat) with LK or LightGlue tracking in a shared Ceres VI-SLAM back-end and reports modest ATE reductions plus real-time FPS on EuRoC, NTU-VIRAL, Botanic Garden and SubT-MRS.
A new Gaussian Mixture Descriptor models 3D fragment surfaces by fitting GMMs to concave and convex patches and uses L2 distance for pair matching.
The IIP model is a cybernetic framework representing humans and AI as coupled control loops whose efficacy depends on input adequacy, reference consonance, and output operativity to guide interface design.
PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.
Analytical solutions for displaced Gaussian states in driven damped oscillators show dynamics independent of bath temperature, unaffected by fast-rotating modes, and sharing exceptional point structure with the undriven case, valid also for time-dependent drives.
AQOCI extends prior QOCI by adding Gauss-Seidel-style adaptive refinement to a QUBO formulation of centroid initialization, yielding up to 26% V-measure gains over k-means++ on MOTIF at small sample sizes and better results than k-means++ on heavily overlapping synthetic clusters.
citing papers explorer
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Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
SKILD unifies unconditional image generation and continuous super-resolution in one diffusion model via scale-invariant k-space dynamics where the reverse process handles both tasks by varying only the starting timestep.
-
Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys
Spotted fuses visual similarity with spatio-temporal feasibility scores to boost top-5 ReID accuracy by up to 9 percentage points and reduce expert queries by 69% on hyena and leopard camera trap datasets.
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CoStream: Composing Simple Behaviors for Generalizable Complex Manipulation
CoStream composes semantic, predictive, and reactive behaviors on an SE(3) interface to enable precise, generalizable performance on eight real-world contact-rich manipulation tasks.
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Free-Placement Optimization of Ground Station Locations for Low-Earth Orbit Satellites
SCORE is a sequential cyclic optimization method for continuous ground station placement that achieves up to 15% higher total downlink throughput than fixed-site approaches and converges with up to 5x fewer evaluations than differential evolution on tested constellations.
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OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis
OrganicHAR discovers 4-8 activity categories per user from sensor signals, achieves 79% accuracy on coarse activities with ambient sensors alone and cuts VLM queries by 90% by triggering video analysis only at detected pattern moments.
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Closing the ultrahigh temperature metrology gap: non-contact thermal conductivity ($\mathrm{k}$) and spectral emittance ($\mathrm{\varepsilon_{\lambda}}$) of molybdenum up to 3200 K
A new non-contact steady-state temperature differential radiometry platform measures molybdenum thermal conductivity from 1500-3000 K with 7.9-11% uncertainty and spectral emittance in solid and liquid states over 500-1000 nm.
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PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing
PhyEdit improves physical accuracy in image object manipulation by using explicit geometric simulation as 3D-aware guidance combined with joint 2D-3D supervision.
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DL-VINS-Factory: A Modular Framework for Learned Visual Front-Ends in Visual-Inertial SLAM
DL-VINS-Factory integrates learned extractors (ALIKED, RaCo, SuperPoint, XFeat) with LK or LightGlue tracking in a shared Ceres VI-SLAM back-end and reports modest ATE reductions plus real-time FPS on EuRoC, NTU-VIRAL, Botanic Garden and SubT-MRS.
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Gmd: Gaussian mixture descriptor for pair matching of 3D fragments
A new Gaussian Mixture Descriptor models 3D fragment surfaces by fitting GMMs to concave and convex patches and uses L2 distance for pair matching.
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A Model of Integrated Information Processing in Human-AI Interaction
The IIP model is a cybernetic framework representing humans and AI as coupled control loops whose efficacy depends on input adequacy, reference consonance, and output operativity to guide interface design.
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Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research
PEEL is proposed as a semiotic scaffolding combining deterministic distant reading and LLM analysis to reveal systematic distortions in quantity, term frequency, and epistemic voice within AI condensations of research texts.
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Evolution of Gaussian mixed states under the Markovian master equation for a driven quantum oscillator
Analytical solutions for displaced Gaussian states in driven damped oscillators show dynamics independent of bath temperature, unaffected by fast-rotating modes, and sharing exceptional point structure with the undriven case, valid also for time-dependent drives.
-
Adaptive Quantum Optimized Centroid Initialization
AQOCI extends prior QOCI by adding Gauss-Seidel-style adaptive refinement to a QUBO formulation of centroid initialization, yielding up to 26% V-measure gains over k-means++ on MOTIF at small sample sizes and better results than k-means++ on heavily overlapping synthetic clusters.