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检索条件"机构=Center for Machine Intelligence and Data Science"
222 条 记 录,以下是1-10 订阅
排序:
Feature maps for the Laplacian kernel and its generalizations
arXiv
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arXiv 2025年
作者: Ahir, Sudhendu Pandit, Parthe Center for Machine Intelligence and Data Science IIT Bombay India
Recent applications of kernel methods in machine learning have seen a renewed interest in the Laplacian kernel, due to its stability to the bandwidth hyperparameter in comparison to the Gaussian kernel, as well as its... 详细信息
来源: 评论
Securing Consumer IoT Swarms Using Graph Transformers and SRAM for Firmware Attestation  22
Securing Consumer IoT Swarms Using Graph Transformers and SR...
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22nd IEEE Consumer Communications and Networking Conference, CCNC 2025
作者: Kohli, Varun Kohli, Bhavya Aman, Muhammad Naveed Sikdar, Biplab National University of Singapore Department of Electrical and Computer Engineering Singapore Center for Machine Intelligence and Data Science Indian Institute of Technology Bombay India School of Computing University of Nebraska-Lincoln United States
Consumer Internet of Things (IoT) networks have gained widespread popularity due to their convenience, automation, and security provisions in personal and home environments. Ubiquitous resource-constrained devices, ho... 详细信息
来源: 评论
Efficient machine Learning Approach for Yield Prediction in Chemical Reactions
arXiv
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arXiv 2025年
作者: Ghosh, Supratim Jain, Nupur Sunoj, Raghavan B. Department of Chemistry Indian Institute of Technology Bombay Powai Mumbai400076 India Center for Machine Intelligence and Data Science Indian Institute of Technology Bombay Powai Mumbai400076 India Department of Chemistry Centre for Machine Intelligence and Data Science Indian Institute of Technology Bombay Maharashtra Mumbai400076 India
Developing machine learning (ML) models for yield prediction of chemical reactions has emerged as an important use case scenario in very recent years. In this space, reaction datasets present a range of challenges mos... 详细信息
来源: 评论
FEDLWS: FEDERATED LEARNING WITH ADAPTIVE LAYER-WISE WEIGHT SHRINKING
arXiv
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arXiv 2025年
作者: Shi, Changlong Li, Jinmeng Zhao, He Guo, Dandan Chang, Yi School of Artificial Intelligence Jilin University China CSIRO’s Data61 Australia International Center of Future Science Jilin University China Engineering Research Center of Knowledge-Driven Human-Machine Intelligence MOE China
In Federated Learning (FL), weighted aggregation of local models is conducted to generate a new global model, and the aggregation weights are typically normalized to 1. A recent study identifies the global weight shri... 详细信息
来源: 评论
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Ai...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Tsangko, Iosif Triantafyllopoulos, Andreas Müller, Michael Schröter, Hendrik Schuller, Björn W. EIHW - Embedded Intelligence for Health Care and Wellbeing University of Augsburg Germany Technical University of Munich Germany MCML - Munich Center for Machine Learning Munich Germany WS Audiology Research and Development Erlangen Germany GLAM - Group on Language Audio & Music Imperial College London United Kingdom MDSI - Munich Data Science Institute Munich Germany
The DeepFilterNet (DFN) architecture was recently proposed as a deep learning model suited for hearing aid devices. Despite its competitive performance on numerous benchmarks, it still follows a 'one-size-fits-all... 详细信息
来源: 评论
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
arXiv
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arXiv 2025年
作者: Zhang, Zhao Zhao, Ziwei Wang, Dong Wang, Liwei Center for Data Science Peking University China Yizhun Medical AI Co. Ltd China State Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China Center for Machine Learning Research Peking University China China
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from traditional approaches based on pixel-... 详细信息
来源: 评论
Securing Consumer IoT Swarms Using Graph Transformers and SRAM for Firmware Attestation
Securing Consumer IoT Swarms Using Graph Transformers and SR...
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Consumer Communications and Networking Conference, CCNC IEEE
作者: Varun Kohli Bhavya Kohli Muhammad Naveed Aman Biplab Sikdar Department of Electrical and Computer Engineering National University of Singapore Singapore Center for Machine Intelligence and Data Science Indian Institute of Technology Bombay India School of Computing University of Nebraska-Lincoln USA
Consumer Internet of Things (IoT) networks have gained widespread popularity due to their convenience, automation, and security provisions in personal and home environments. Ubiquitous resource-constrained devices, ho... 详细信息
来源: 评论
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
arXiv
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arXiv 2025年
作者: Ma, Chenxiang Chen, Xinyi Li, Yanchen Yang, Qu Wu, Yujie Li, Guoqi Pan, Gang Tang, Huajin Tan, Kay Chen Wu, Jibin Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University Hong Kong Department of Computing The Hong Kong Polytechnic University Hong Kong Department of Electrical and Computer Engineering National University of Singapore 119077 Singapore Institute of Automation Chinese Academy of Sciences Beijing100045 China State Key Laboratory of Brain-Machine Intelligence College of Computer Science and Technology MOE Frontier Science Center for Brain Science and Brain-Machine Integration Zhejiang University Hangzhou310027 China
Temporal processing is fundamental for both biological and artificial intelligence systems, as it enables the comprehension of dynamic environments and facilitates timely responses. Spiking Neural Networks (SNNs) exce... 详细信息
来源: 评论
Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing
Advancing OCT-Based Retinal Disease Classification with XLST...
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IEEE International Symposium on Biomedical Imaging
作者: Emese Sükei Marzieh Oghbaie Ursula Schmidt-Erfurth Günter Klambauer Hrvoje Bogunović Department of Ophthalmology OPTIMA Lab Medical University of Vienna Austria Institute of Artificial Intelligence Medical University of Vienna Center for Medical Data Science Austria LIT AI Lab Institute for Machine Learning Johannes Kepler University Austria NXAI GmbH Linz Austria
This paper presents a method for retinal disease classification using optical coherence tomography (OCT) scans, specifically addressing the challenge of variable B-scan density across dataset volumes. Deep learning me... 详细信息
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Empowering LLMs with Logical Reasoning: A Comprehensive Survey
arXiv
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arXiv 2025年
作者: Cheng, Fengxiang Li, Haoxuan Liu, Fenrong van Rooij, Robert Zhang, Kun Lin, Zhouchen Institute for Logic Language and Computation University of Amsterdam Netherlands Center for Data Science Peking University China Machine Learning Department MBZUAI Department of Philosophy Tsinghua University China Department of Philosophy CMU United States Institute for Artificial Intelligence Peking University China Peng Cheng Laboratory China National Key Lab of General AI School of Intelligence Science and Technology Peking University China
Large language models (LLMs) have achieved remarkable successes on various natural language tasks. However, recent studies have found that there are still significant challenges to the logical reasoning abilities of L... 详细信息
来源: 评论