diffusion models

Lacuna: Cryptic Binding Pocket Discovery via Conformational Ensemble Analysis

Lacuna discovers cryptic binding pockets: sites that are absent or too small to detect in a protein's unbound structure and open only during conformational fluctuation. It generates a conformational ensemble from any input structure, detects pockets independently in every conformer, clusters the detections into persist...

Learning Generalized Hessian on Graphs for Continuous Graph Learning

Abstract In this work, we propose HbInOut (Hessian-based Influx Outflux), a continuous graph neural network for graph learning and graph ensemble (snapshot) learning. HbInOut models diffusion on graphs by incorporating flow -based priors in its forward-pass construction and includes directionality through learnable inf...

Adaptive Biohybrid Neural Interface (ABNI): A Computational Feasibility Framework for Closed-Loop Neuromodulation, Thermal Safety, and System-Level Engineering Sub-Models

This paper presents the Adaptive Biohybrid Neural Interface (ABNI) as a computational feasibility framework: a set of independently verifiable mathematical and computational sub-models for the major subsystems such an interface would require, rather than an integrated, biologically validated device. Its core contributi...

Deep Diffusion Reinforcement Learning for Options Hedging

Spatial-Frequency Fusion for Robust Detection of AI- Generated Images across Unseen Generators

The rapid development of generative artificial intelligence has made it increasingly difficult to distinguish AI-generated images from authentic photographs. Generative adversarial networks, diffusion models, and text-to-image systems can produce highly realistic visual content, creating challenges for digital forensic...

Design and Validation of a Multimodal AI Conversational System for Automated Travel Itinerary Generation and Promotional Video Synthesis

The manual creation of personalized travel itineraries remains a labor-intensive process that requires travel agents to consolidate heterogeneous information from multiple sources, including natural language interactions, booking confirmations, screenshots, and reservation documents. Although recent advances in multimo...

Large-Language Models as a Cognitive Virus

This work proposes that their diffusion can be understood through a viral analogy, with LLM use spreading through populations, becoming embedded in cognitive and cultural practices, and highlights how LLM adoption may involve nonlinear collective transitions with important consequences for cognitive autonomy.

ToPO: Token-Conditioned Preference Routing for Attention-Based Latent Diffusion Models

ToPO (Token-Oriented Preference Optimization) constructs a per-minibatch, detached, separable spatial-temporal route from branchwise squared-residual contrast in a frozen reference denoiser for attention-based, noise-prediction latent diffusion.

Multilevel Governance and Policy Diffusion in Climate Adaptation: A Comparative Analysis of National and Sub national Public Policy Responses

Climate adaptation policy presents a distinctive governance challenge because the physical impacts of climate change are experienced locally and unevenly, while much of the scientific, financial and technical capacity required designing effective adaptation responses is concentrated at national and international levels...

South-South Climate Diplomacy and the Diffusion of Nationally Determined Contribution Models

South‑South climate diplomacy has become the structural center of gravity in global climate governance, displacing the historical assumption of Annex I technological and financial primacy. As the monograph notes, “emerging economies and developing nations now account for over 66% of annual global greenhouse gas emissio...

Modeling the Kinematic Transition Between Consciousness and the Unconscious: A Phenomenological Framework for Neuromorphic Dynamics and Metabolic Power Constraints

— This paper presents a novel bio-inspired phenomenological framework and an algorithmic toy model designed to conceptualize the kinematic and energetic transitions between conscious waking states and virtual dream states within the human brain. Moving away from purely qualitative descriptions, we introduce a global st...

Title: Temporal Dynamics Theory – Non-Linear Spatio-Temporal Diffusion Models

This paper presents a novel theoretical framework for understanding and modeling temporal dynamics, focusing on the propagation of patterns and information across spatial and temporal scales. The core of the work centers on the development of a model incorporating non-linear interactions and diffusion processes, utiliz...