Delve into the cutting edge of Artificial Intelligence with our dedicated Research Paper section.
![[2401.14411] Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks](http://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png "[2401.14411] Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks"){kind=logo}
[Submitted on 17 Jan 2024] Download a PDF of the paper titled Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks, by Felipe Giraldo-Grueso and 2 other authors Download PDF Abstract:Discrepancies between the true Martian atmospheric density and…
[Submitted on 21 Jan 2024] Download a PDF of the paper titled Fuzzy Logic-Based System for Brain Tumour Detection and Classification, by NVSL Narasimham and 1 other authors Download PDF Abstract:Brain Tumours (BT) are extremely dangerous and difficult to treat.…
Recent studies of the emergent capabilities of transformer-based Natural Language Understanding (NLU) models have indicated that they have an understanding of lexical and compositional semantics. We provide evidence that suggests these claims should be taken with a grain of salt:…
Research in developing data-driven models for Air Traffic Management (ATM) has gained a tremendous interest in recent years. However, data-driven models are known to have long training time and require large datasets to achieve good performance. To address the two…
Differentially Private Hypothesis Testing for Linear Regression Daniel G. Alabi, Salil P. Vadhan; 24(361):1−50, 2023. Abstract In this work, we design differentially private hypothesis tests for the following problems in the multivariate linear regression model: testing a linear relationship and…
Deep Neural Networks (DNN) have emerged as an effective approach to tackling real-world problems. However, like human-written software, DNNs are susceptible to bugs and attacks. This has generated significant interests in developing effective and scalable DNN verification techniques and tools.…
Topological data analysis (TDA) is gaining prominence across a wide spectrum of machine learning tasks that spans from manifold learning to graph classification. A pivotal technique within TDA is persistent homology (PH), which furnishes an exclusive topological imprint of data…
[Submitted on 24 Jan 2024] Download a PDF of the paper titled S2TPVFormer: Spatio-Temporal Tri-Perspective View for temporally coherent 3D Semantic Occupancy Prediction, by Sathira Silva and 3 other authors Download PDF Abstract:Holistic understanding and reasoning in 3D scenes play…
[Submitted on 24 Jan 2024] Download a PDF of the paper titled Investigating the Efficacy of Large Language Models for Code Clone Detection, by Mohamad Khajezade and 4 other authors Download PDF Abstract:Large Language Models (LLMs) have demonstrated remarkable success…
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Combinatorial Optimization and Reasoning with Graph Neural Networks Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Veličković; 24(130):1−61, 2023. Abstract Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods…
The Internet of things (IoT) can significantly enhance the quality of human life, specifically in healthcare, attracting extensive attentions to IoT-healthcare services. Meanwhile, the human digital twin (HDT) is proposed as an innovative paradigm that can comprehensively characterize the replication…