The nervous system continuously adjusts connection strengths and reorganizes its structure to form and maintain complex connectivity patterns with heavy-tailed weight distributions. We propose a parsimonious model in which structural and synaptic plasticity are driven by common diffusion dynamics. Synaptic plasticity a...
Jia Li, Cees van Leeuwen, Roman Bauer et al.· Communications Biology· 0 citations
Diffusion-based medical image segmentation has expanded quickly, but the term now covers methods that solve different problems. Existing reviews often organize the field by architecture or application, which can blur the distinction between a model that generates a mask, one that supplies a prior, one that repairs an e...
Chenyang Li· Applied and Computational En...· 0 citations
To resolve the fundamental conflict between suppressing measurement noise and capturing localised kinetic features in heterogeneous interface diffusion prediction, a novel Topology-Aware Hierarchical Focal-PINN is proposed, incorporating a retinal-inspired hierarchical focusing mechanism. Mimicking the biological fovea...
Zhi-Chao Jia, Yan-Li Song, Ye Li et al.· Engineering analysis with bo...· 0 citations
Abstract Exciton diffusion length (LD) is a key parameter determining the power conversion efficiency of organic solar cells (OSCs), yet its fast and accurate calculation is computationally challenging due to thin-film structural disorder and the long-range nature of excitonic coupling. Herein, we introduce a coarse-gr...
Zirui Wang, Qiming Zhao, Yuanping Yi et al.· Journal of Chemical Informat...· 0 citations
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Abstract Molecular dynamics (MD) simulations are a powerful tool for elucidating the molecular mechanisms of supramolecular self-assembly, but the long time scales of aggregation often make all-atom simulations computationally challenging. Here, we evaluate the recently developed TIP3P-FAST water model as a simple stra...
Sayantan Maity, Sundaram Balasubramanian· The Journal of Physical Chem...· 0 citations
Lenticulum.jl is a Julia library for learning relations instead of functions. A neural network learns a map from inputs to outputs and runs in one direction. Lenticulum learns a relation on a joint space and decides at query time which variables are observed and which are inferred, so one trained model answers "y given...
Daniel Boigk· Zenodo (CERN European Organi...· 0 citations
Many modern scientific studies record more variables than observations. A single experiment may measure thousands of quantities while collecting only hundreds of samples. Inthis regime the classical multivariate toolbox stops working. Principal component analysis,the standard tool for keeping the few strongest patterns...
Kalyan Chakravarthy Kodela, Kamalesh Karmakar, Stabak Roy et al.· Zenodo (CERN European Organi...· 0 citations
Accurate forecasting of fine particulate matter (PM 2.5 ) is critical for mitigating severe health risks in South Asia, yet it remains challenging in data-scarce regions like Bangladesh. While spatiotemporal graph neural networks (GNNs) offer a promising solution by capturing atmospheric transport, their effectiveness...
Surface global horizontal irradiance (GHI) is a primary input to solar resource assessment, plant design, and generation forecasting, yet in high-potential but sparsely gauged regions such as the Arabian Peninsula, it is difficult to obtain accurately and with quantified uncertainty. The gridded fields of numerical wea...
Hatem Jebari· King Abdullah University of...· 0 citations
SAEP-SVD (Sign Alignment and Energy Preservation) introduces a novel matrix distillation framework designed for high-rank compression of Diffusion Transformers (DiT, Z-Image, FLUX) without feature collapse, bypassing the classical constraints of the Eckart–Young–Mirsky theorem. Key Technical Highlights: Sign & Phase Al...
Roman Nykonov· Zenodo (CERN European Organi...· 0 citations
Predictions, scores and figures for InstaNovo v1.2.2 across seven inference modes on the ProteoBench de novo DDA-HCD module (nine-species balanced, 779,879 spectra), together with the published datapoints of the seven tools on that leaderboard at the time of deposit. What is here Filenames are flat: Zenodo's upload API...
Jeroen Van Goey· Zenodo (CERN European Organi...· 0 citations
Dated research note. The claim is that the next network-diffusion model for prion-like pathology spread on a primate connectome should be a directed graph Laplacian whose edge polarity is taken from tract-tracing data rather than from diffusion MRI, with separate anterograde and retrograde operators and their ratio lef...
Jovan David Rebolledo-Mendez· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
