This paper presents a novel end-to-end (E2E) empirical Bayes framework for learning the posterior distribution in linear inverse problems. The proposed framework models the log-posterior as the sum of a log-likelihood derived from the known forward model and a neural network-parameterized log-prior learned from trainin...
Jyothi Rikhab Chand, Mathews Jacob· Journal of Imaging· 0 citations
Overview This repository consolidates the foundational theoretical framework of the "Cosmos Scenario" and the "Theory of Structural Transduction." It establishes the ontological and operational bedrock for a research program that investigates fundamental problems in mathematics, physics, and computation (including the...
Cláudio Vicente da Silva· Zenodo (CERN European Organi...· 0 citations
Abstract Choline chloride-based deep eutectic solvents (DESs) are promising for electrodeposition due to their high electrochemical stability and ionic conductivity, yet their application can be hindered by high viscosity and uncontrolled water uptake. Here, we systematically investigate how the hydrogen bond donor (HB...
Vadim L. Filippov, A. V. Shapagin, Timofei V. Golubitchenko et al.· The Journal of Physical Chem...· 0 citations
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In this study, mixed matrix membranes (MMMs) consisting of a continuous polymer phase and a dispersed metal-organic framework (MOF) phase were designed to purify hydrogen from the solar water splitting process. We first identified 20 MOFs with a small pore limiting diameter of ≤3 Å to restrict the passage of larger mol...
Reza Ghanavati, Thomas A. Manz· Figshare· 0 citations
Source code accompanying the paper “Conditional Diffusion Models for Global Precipitation Map Inpainting,” accepted for publication in Earth and Space Science. The repository includes code for model training, evaluation, sensitivity analysis, precipitation-regime evaluation, and figure generation.
Daiko Kishikawa· Zenodo (CERN European Organi...· 0 citations
Source code accompanying the paper “Conditional Diffusion Models for Global Precipitation Map Inpainting,” accepted for publication in Earth and Space Science. The repository includes code for model training, evaluation, sensitivity analysis, precipitation-regime evaluation, and figure generation.
Daiko Kishikawa· Zenodo (CERN European Organi...· 0 citations
Despite extensive research on iron-based metal matrix composites (Fe-based MMCs), an integrated assessment linking fabrication methods, reinforcement architectures, interface engineering, and strengthening mechanisms remains limited. This review summarizes recent advances in Fe-based MMCs, with emphasis on the relation...
П. М. Корусенко, V.K. Kudymov, Vladimir E. Gaishun et al.· Metals· 0 citations
English Description BIG-B18 develops a unified readout-operator interpretation of memory-bearing boundary dynamics in Boundary Information Geometry (BIG). BIG-B17 showed, in a reduced free-boundary model, that retained boundary history affects later response when it remains locally readable in the current moving-bounda...
Jun Lucis· Zenodo (CERN European Organi...· 0 citations
Exp3_observed_quantile_effects.R — Calculates participant-level RT quantiles separately by gaze validity, response accuracy, and SOA for Data Set 3. Computes within-participant invalid-minus-valid effects at the .10, .25, .50, .75, and .90 quantiles and produces the observed distributional-effects figure used in the ma...
Jason Tipples· 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.