Risultati della ricerca - encoding ((Algorithmsssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

Exploiting the equivalence between quantum neural networks and perceptrons di Mingard, Chris, Pointing, Jessica, London, Charles, Nam, Yoonsoo, Louis, Ard A.

Sommario: “... algorithms. For example, a QNN with amplitude encoding cannot express the Boolean parity function for $n\geq...”
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Neural information field filter di Hao, Kairui, Bilionis, Ilias

Sommario: “... Fourier encoding fully connected neural network residual function. The residual function aims to correct...”
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A quantum GAN for entanglement detection and image classification di Steck, James E., Behrman, Elizabeth C.

Sommario: “...Machine learning can be used as a systematic method to non-algorithmically program quantum...”
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Flag Proxy Networks: Tackling the Architectural, Scheduling, and Decoding Obstacles of Quantum LDPC codes di Vittal, Suhas, Javadi-Abhari, Ali, Cross, Andrew W., Bishop, Lev S., Qureshi, Moinuddin

Sommario: “... of its relative simplicity. However, encoding a singular logical qubit with the planar surface code...”
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ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers di Mehta, Sonu, Mohan, Jayashree, Natarajan, Nagarajan, Ramjee, Ramachandran, Varma, Manik

Sommario: “... is to embed the queries (and labels) using a deep encoder (e.g. DistilBERT), and use linear classifiers on top...”
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Multi-Scale Node Embeddings for Graph Modeling and Generation di Milocco, Riccardo, Jansen, Fabian, Garlaschelli, Diego

Sommario: “...Lying at the interface between Network Science and Machine Learning, node embedding algorithms take...”
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Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models di Carvalho, J., Le, A., Kicki, P., Koert, D., Peters, J.

Sommario: “...The performance of optimization-based robot motion planning algorithms is highly dependent...”
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A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning di Wu, Zechen, Greenwald, Amy, Parr, Ronald

Sommario: “... for each algorithm, without relying on assumptions about the features (e.g., linear independence). We also...”
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Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models di Vijendran, V, Koh, Dax Enshan, Bae, Eunok, Kwon, Hyukjoon, Lam, Ping Koy, Assad, Syed M

Sommario: “...The Quantum Approximate Optimisation Algorithm (QAOA) is a hybrid quantum-classical algorithm...”
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Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound di Huang, Yuhao, Chang, Ao, Dou, Haoran, Tao, Xing, Zhou, Xinrui, Cao, Yan, Huang, Ruobing, Frangi, Alejandro F, Bao, Lingyun, Yang, Xin, Ni, Dong

Sommario: “... algorithms. In this study, we introduce a novel multi-agent reinforcement learning-based WSS framework called...”
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Mindsets and Management: AI and Gender (In)Equitable Access to Finance di Smith, Genevieve

Sommario: “... of encoded gender norms, whereby without explicit attention to the gendered nature of data and algorithmic...”
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Path Matters: Industrial Data Meet Quantum Optimization di Schmidbauer, Lukas, Riofrío, Carlos A., Heinrich, Florian, Junk, Vanessa, Schwenk, Ulrich, Husslein, Thomas, Mauerer, Wolfgang

Sommario: “... large. Each step introduces free parameters, such as Lagrange multipliers, encoding strategies, slack...”
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DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update di Pijan, Bizhan Alipour, Bozdag, Serdar

Sommario: “...-based methods. Then, they utilize sequence-based models (e.g., transformers) to encode the temporal...”
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A Robust Method for Pitch Tracking in the Frequency Following Response using Harmonic Amplitude Summation Filterbank di Sadeghkhani, Sajad, Boroujeni, Maryam Karimi, Dajani, Hilmi R., Seydnejad, Saeid R., Giguère, Christian

Sommario: “...The Frequency Following Response (FFR) reflects the brain's neural encoding of auditory stimuli...”
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Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks di Yu, Ziqiao, Sun, Pengfei, Akarca, Danyal, Goodman, Dan F. M.

Sommario: “...The surrogate gradient descent algorithm enabled spiking neural networks to be trained to carry out...”
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Joint estimation of asymmetric community numbers in directed networks di Qing, Huan

Sommario: “... networks, directed networks encode inherently asymmetric relationships, giving rise to sender and receiver...”
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Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road Assessment di Gong, Huatian, Sheu, Jiuh-Biing, Wang, Zheng, Yang, Xiaoguang, Yan, Ran

Sommario: “... for algorithm design, making them unsuitable for time-sensitive disaster scenarios. This study proposes...”
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Structuring Collective Action with LLM-Guided Evolution: From Ill-Structured Problems to Executable Heuristics di Dsouza, Kevin Bradley, Watt, Graham Alexander, Leonenko, Yuri, Moreno-Cruz, Juan

Sommario: “..., clear algorithm can bridge micro-level choices with macro-level welfare. We present ECHO-MIMIC, a...”
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ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search di Shen, Zeyu, Imana, Basileal, Wu, Tong, Xiang, Chong, Mittal, Prateek, Korolova, Aleksandra

Sommario: “... setting for studying and protecting against such threats, as defense algorithms can benefit from built...”
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Compact Multi-level-prior Tensor Representation for Hyperspectral Image Super-resolution di Wang, Yinjian, Li, Wei, Gui, Yuanyuan, Vivone, Gemine

Sommario: “... as the spatial tensor encoding the high-order spatial low-rankness and smoothness priors, which are co-modeled...”
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