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diffusion models

2,136 papers

#diffusion models Open access Sep 2026

AF-RECAL: Multi-Modal Structural Recalibration of AlphaFold 3 Hallucinations in Intrinsically Disordered Human Disease Targets

AlphaFold 3 (AF3) has transformed structural bioinformatics through generative diffusion modeling of biomolecular assemblies. However, intrinsically disordered regions (IDRs)—which comprise over 30% of the human proteome and mediate essential cell signaling, oncogenesis, and phase separation—violate the classic thermod...

Mudit Sharma · 0 citations

A framework for implementing lean practices in the Nigerian construction industry: an integrated diffusion-adoption approach

This study challenges the persistent lack of awareness and action on Lean Practices (LPs) in the Nigerian construction industry by developing an integrated Diffusion of Innovations (DOI)–Technology–Organisation–Environment (TOE) model. Rather than treating adoption as a fixed outcome, it theorises adoption as a sta...

O. Babalola, Adamu Wahab · 0 citations
#reinforcement learning Open access Sep 2026

Nonlinear Inversion of Dissipative Trajectories in Hilbert Spaces via Riccati Differential Matrix Control and Saddle-Node Bifurcation Stabilization

Rigorous formulation and solution of the deterministic nonlinear trajectory inversion problem in four-dimensional Hilbert spaces via the Riccati Differential Equation (DRE) and Continuous Algebraic Riccati Equation (CARE). Derives the optimal LQR feedback law, proves entropy neutralization, and establishes bifurcation...

Dimitar Stavrev Prodromov · 0 citations
#reinforcement learning Open access Sep 2026

Statistical Rigidity of Wigner-Dyson Eigenvalue Distributions in Gaussian Unitary Ensembles: The Spectral Integrity Operator and Selberg Automorphic Stabilization

Definition and exact evaluation of the Spectral Integrity Operator for Gaussian Unitary Ensemble (GUE) random matrices. Proves the identity T(E/I) = 1.000000 by combining the Wigner surmise normalization with the Dyson-Mehta spectral rigidity statistic at the James Arthur truncation scale. Establishes Selberg automorph...

Dimitar Stavrev Prodromov · 0 citations
#reinforcement learning Open access Sep 2026

Spectral SU(3) Gauge Invariant on Four-Dimensional Euclidean Lattices: Wilson Loop Expectation Values, Area Law Confinement, and the Non-Perturbative Mass Gap

Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...

Dimitar Stavrev Prodromov · 0 citations
#reinforcement learning Open access Sep 2026

Nonlinear Inversion of Dissipative Trajectories in Hilbert Spaces via Riccati Differential Matrix Control and Saddle-Node Bifurcation Stabilization

Rigorous formulation and solution of the deterministic nonlinear trajectory inversion problem in four-dimensional Hilbert spaces via the Riccati Differential Equation (DRE) and Continuous Algebraic Riccati Equation (CARE). Derives the optimal LQR feedback law, proves entropy neutralization, and establishes bifurcation...

Dimitar Stavrev Prodromov · 0 citations
#generative ai Open access Sep 2026

Invisible Image Watermark Attacks: A Survey

Invisible image watermarking supports copyright protection, provenance tracing, and AI-generated content governance. However, deep encoder-decoder and generative watermarks, public image editors, and latent-space reconstruction have transformed watermark attacks into a rapidly evolving landscape beyond conventional dis...

Jidong Yang, Qi Li, Huaike Yu et al. · 0 citations
#large language models Open access Sep 2026

Spectral SU(3) Gauge Invariant on Four-Dimensional Euclidean Lattices: Wilson Loop Expectation Values, Area Law Confinement, and the Non-Perturbative Mass Gap

Complete lattice computation of Wilson loop expectation values under SU(3) gauge theory on a four-dimensional Euclidean lattice. Establishes color confinement via the area law and extracts the non-perturbative Yang-Mills mass gap of 77.71 MeV from the two-point glueball correlator spectral decomposition. ⚖️ PROPRIETARY...

Dimitar Stavrev Prodromov · 0 citations
#diffusion models Open access Sep 2026

The 2.5 in the Viscosity of a Suspension Comes Not from the Volume of the Particles but from the Stress They Place on the Flow Outside ── for the Stokes solution of a sphere in a uniform straining flow, the surface integral of the stress over the sphere (the stresslet) is 20π/3 times viscosity, radius cubed and strain, and dividing by the particle volume 4π/3 gives 2.5; solving viscosity and diffusion for two unknowns, a change of the coefficient from 1 to 2.5 moves Avogadro's number by a factor 1.581139 ── the separator is whether one counts the volume inside the particle or the stress outside it ── [Paper 1024]

A liquid with small spheres mixed in at volume fraction φ has, when dilute, (1 + 2.5φ) times its original viscosity. Einstein wrote the coefficient as 1 in his 1906 doctoral thesis and corrected it to 2.5 in 1911. This paper checks the Stokes solution for a sphere in a uniform straining flow by symbolic computation, ob...

Yuuki Yamagishi · 0 citations
#generative ai Open access Sep 2026

Class balanced diabetic retinopathy image synthesis using a latent diffusion framework

This study establishes the Diabetic Retinopathy Latent Diffusion Synthesizer (DR-LDS) as a highly resource-efficient solution to the medical data bottleneck by leveraging a fine-tuned Variational Autoencoder for domain-adapted latent space compression, alongside an optimized U-Net.

Touhid Alam, Tze Hui Liew, M. Morol et al. · 0 citations
#artificial intelligence Review Open access Aug 2026

The Coordination Compression Trap: A Dynamic Model of AI-Enabled Productivity, Verification Debt, and Organisational Resilience in Global Knowledge Firms

Aims: This study develops a dynamic explanation for the gap between task-level artificial intelligence productivity and durable enterprise value. It introduces verification debt, the accumulated stock of unverified assumptions, weak review, concealed dependencies, deferred validation, and capability loss. Study Design:...

Kwan-Hong Tan · 2 citations
#diffusion models Open access Sep 2026

EXODUS: An Explicit Outcome-Driven Uncertainty Screening Controller for Diffusion Language Model Sampling

Masked diffusion language models can revise committed tokens to correct errors at the cost of additional computation. Because recovery benefits vary across tokens and denoising steps, fixed policies can spend this computation on unhelpful revisions. We present EXplicit Outcome-Driven Uncertainty Screening (EXODUS), a m...

Dongfang Zhao · 0 citations

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

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