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2,280 papers
With the growing trend in urban development along with advanced intelligent transportation systems, there is a demand for advanced solutions for the management of the transport network. Since transportation networks can easily be modeled using graphs, graph theory is a useful mathematical tool for optimizing complex ne...
To address the difficulty of establishing continuous associations among oracle bone script images, transcriptions, and archaeological knowledge, this study developed the Oracle-Artifact Multimodal Reasoning (OAMR) multimodal semantic reasoning framework. Vision Transformer (ViT)-B/16 and Bidirectional Encoder Represent...
Mesh-free numerical methods provide flexible discretisations for complex geometries; however, classical meshless discrete differential operators typically trade low computational cost for limited accuracy or high accuracy for substantial per-stencil computation. We introduce a parametrised framework for learning mesh-f...
Hyperspectral image change detection faces challenges from spectral redundancy and spatial-scale diversity, which hinder the extraction of discriminative features and lead to pseudo-change noise. To address these issues, we propose M2FNet: a multiscale graph-convolution collaborative network with node interaction atten...
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Source code for CD-BAN, a dual-branch graph neural network with a bilinear cross-attention layer that classifies drug-cyclodextrin inclusion-complex binding affinity (Strong: K > 10,000 M⁻¹ vs. Weak: K < 100 M⁻¹) from 2D SMILES alone, without 3D geometry or handcrafted descriptors. Trained only on the binary extremes,...
Confidential preliminary research document.Intellectual property of Drescher Károly.
Official code for the paper: HetST-GNN: Relation-Aware Graph Neural Networks with Temporal Conditioning for Back-Order Prediction in Multi-Echelon Supply Chains This release contains the source code used in the paper.
FGRF v3.0: Validated structural probe for LLM weight matrices, with spectral estimators and a reproducible trained-vs-untrained signature across Qwen2.5-0.5B, SmolLM2-360M, and GPT-2-medium. FGRF v2.0: Version 2 represents an evolution from the original proof-of-concept. It reframes FGRF from a direct optimizer into a...
Visual localization for unmanned aerial vehicles in satellite-denied environments traditionally relies on matching onboard camera imagery to geospatial reference maps. However, direct image-based matching is highly susceptible to seasonal, environmental, and temporal variations. To overcome these limitations, we propos...
Multispectral images (MSIs) with representative spectral bands and superior spatial resolution are usually considered for fine classification of wetlands; however, traditional MSI feature extraction and classification models may be suboptimal to identify differences between similar ground objects. To come up with a sol...
Confidential preliminary research document.Intellectual property of Drescher Károly.
In today's competitive market environment, business analysis has developed into a necessity beyond just describing reports to becoming a strategy for data-driven decision making. This research paper offers an integrated approach to applying business analysis to managerial decision analytics for creating a sustainable c...
A cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
Climate & Sustainability
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