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Your search keyword '"Fisher, Matthew P. A."' showing total 4 results
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4 results on '"Fisher, Matthew P. A."'

1. ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

Author

Maruani, Nissim, Yifan, Wang, Fisher, Matthew, Alliez, Pierre, and Desbrun, Mathieu

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often lack geometric details and/or require long training times and large resources. Our approach remedies these issues by combining sparse voxel grids and point, normal, and color sampling within a multiscale neural architecture that can be trained efficiently and in parallel. We show that our resulting variations better capture the fine details of their original input and can handle more general types of surfaces than previous SDF-based methods. Moreover, we offer interactive generation of 3D shape variants, allowing more human control in the design loop if needed.

Published
2025

2. Fast Approximate Solution of Stein Equations for Post-Processing of MCMC

Author

Liu, Qingyang, Kanagawa, Heishiro, Fisher, Matthew A., Briol, François-Xavier, and Oates, Chris. J.

Subjects
Statistics - Computation
Abstract

Bayesian inference is conceptually elegant, but calculating posterior expectations can entail a heavy computational cost. Monte Carlo methods are reliable and supported by strong asymptotic guarantees, but do not leverage smoothness of the integrand. Solving Stein equations has emerged as a possible alternative, providing a framework for numerical approximation of posterior expectations in which smoothness can be exploited. However, existing numerical methods for Stein equations are associated with high computational cost due to the need to solve large linear systems. This paper considers the combination of iterative linear solvers and preconditioning strategies to obtain fast approximate solutions of Stein equations. Our main finding is that these methods can be effective, but that the performance of different preconditioning strategies is context-dependent, so that no single strategy can be universally preferred.

Published
2025

3. Fungal impacts on Earth’s ecosystems

Author

Case, Nicola T., Gurr, Sarah J., Fisher, Matthew C., Blehert, David S., Boone, Charles, Casadevall, Arturo, Chowdhary, Anuradha, Cuomo, Christina A., Currie, Cameron R., Denning, David W., Ene, Iuliana V., Fritz-Laylin, Lillian K., Gerstein, Aleeza C., Gow, Neil A. R., Gusa, Asiya, Iliev, Iliyan D., James, Timothy Y., Jin, Hailing, Kahmann, Regine, Klein, Bruce S., Kronstad, James W., Ost, Kyla S., Peay, Kabir G., Shapiro, Rebecca S., Sheppard, Donald C., Shlezinger, Neta, Stajich, Jason E., Stukenbrock, Eva H., Taylor, John W., Wright, Gerard D., Cowen, Leah E., Heitman, Joseph, and Segre, Julia A.

Published
2025
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4. Early degenerative changes are different between partial and complete anterior cruciate ligament injury and associate with joint instability in a skeletally immature porcine model.

Author

Howe, Danielle, Thompson, Jacob D., Teeter, Stephanie D., Easson, Margaret, Barlow, Olivia, Griffith, Emily H., Schnabel, Lauren V., Spang, Jeffrey T., and Fisher, Matthew B.

Abstract

Anterior cruciate ligament (ACL) injuries are a major problem in the pediatric and adolescent populations. Some of these injuries are only partial; yet, there is limited data to inform clinical treatment of such partial tears. It is unknown how injury partial injury impacts long-term degenerative changes in the joint relative to complete injury. In this study, we hypothesized that partial (anteromedial (AM) or posterolateral (PL) bundle) tears would result in small levels of instability and degeneration relative to complete ACL tears and that the degree of degeneration would associate with joint instability. Partial (isolated AM or PL bundle) or complete ACL injury was arthroscopically created in 3-month-old juvenile pigs. The contralateral limb served as a sham-operated control. Six months after injury, joint biomechanics was assessed along with cartilage and meniscus degeneration (via magnetic resonance imaging [MRI], gross imaging, and histology). Joint laxity increases were minimal after PL bundle injury (difference relative to controls (confidence interval): 0.5 (−1.2–2.2) mm), minor after AM bundle injury (3.7 (2.0–5.4) mm), and major after ACL injury (15.8 (13.7–17.8) mm). Cartilage MRI T1ρ relaxation times increased minimally after PL bundle injury (−0.9 (−5.1–3.3) ms for lateral tibia), moderately after AM bundle injury (6.6 (1.7–11.4) ms), and substantially after ACL injury (10.8 (2.1–19.5) ms). Changes in meniscus volume followed a similar rank order. Degeneration was associated with the extent of joint destabilization. These findings suggest that cartilage and meniscus degeneration in the skeletally immature joint are associated with joint laxity after partial and complete ACL injuries. [ABSTRACT FROM AUTHOR]

Published
2025
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