Risultati della ricerca - (encoding OR Decoding) (algorithmssssics OR (algorithm OR (algorithmics OR algorithmics)))

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures di Dibbo, Sayanton V., Breuer, Adam, Moore, Juston, Teti, Michael

Sommario: “...Recent model inversion attack algorithms permit adversaries to reconstruct a neural network...”
Testo

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic di Chitta, Kashyap, Dauner, Daniel, Geiger, Andreas

Sommario: “...-to-vector autoencoder. It encodes agents and the lane graph into distinct channels in a rasterized latent...”
Testo

A Constrained Spectral Approximation of Subgrid-Scale Orography on Unstructured Grids di Chew, Ray, Dolaptchiev, Stamen, Wedel, Maja-Sophie, Achatz, Ulrich

Sommario: “... of orographic gravity-wave sources in weather forecasting. A significant hurdle is encoding as much physical...”
Testo

NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising di Deng, Tianchen, Wang, Yanbo, Xie, Hongle, Wang, Hesheng, Wang, Jingchuan, Wang, Danwei, Chen, Weidong

Sommario: “..., which utilizes implicit neural representation to encode 3D scenes. This extension of NeRF to SLAM has...”
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Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning di Semenov, Andrei, Ivanov, Vladimir, Beznosikov, Aleksandr, Gasnikov, Alexander

Sommario: “... Concept Bottleneck Model from pre-trained multi-modal encoder and new CLIP-like architectures...”
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Chemical mass-action systems as analog computers: implementing arithmetic computations at specified speed di Anderson, David F., Joshi, Badal

Sommario: “.... In this context, the inputs to a computation are encoded as initial values of certain chemical species while...”
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MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning di Farina, Matteo, Mancini, Massimiliano, Cunegatti, Elia, Liu, Gaowen, Iacca, Giovanni, Ricci, Elisa

Sommario: “..., the transferable representations already encoded in the pretrained model are a key aspect to preserve. Thus, we...”
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On-chip Real-time Hyperspectral Imager with Full CMOS Resolution Enabled by Massively Parallel Neural Network di Wen, Junren, Gao, Haiqi, Shi, Weiming, Feng, Shuaibo, Hao, Lingyun, Liu, Yujie, Xu, Liang, Shao, Yuchuan, Zhang, Yueguang, Shen, Weidong, Yang, Chenying

Sommario: “... techniques suitable for mass production and the high-speed, high-accuracy reconstruction algorithm for real...”
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Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering di Yao, Jiawei, Qian, Qi, Hu, Juhua

Sommario: “... datasets. However, a major challenge arises as users often do not need all the clusterings that algorithms...”
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The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset di Bellei, Claudio, Xu, Muhua, Phillips, Ross, Robinson, Tom, Weber, Mark, Kaler, Tim, Leiserson, Charles E., Arvind, Chen, Jie

Sommario: “... encodes relational information at a subgroup level (multiple connected nodes) rather than at a node level...”
Testo

TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction di Yin, Shi, Pan, Xinyang, Wang, Fengyan, He, Lixin

Sommario: “... to induce SO(3)-equivariant encodings of various degrees from the learned SO(3)-invariant features...”
Testo

Benchmarking Cross-Domain Audio-Visual Deception Detection di Guo, Xiaobao, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex C.

Sommario: “... for multi-to-single domain generalization evaluation. We also propose an algorithm to enhance...”
Testo

CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion di Ludwig, Oswaldo

Sommario: “... of the AdaGrad optimization algorithm. This means that weights that have received many updates should have lower...”
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Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation di Zhou, Zikun, Xiong, Wentao, Zhou, Li, Li, Xin, He, Zhenyu, Wang, Yaowei

Sommario: “... pretrained representations for pixel-level prediction but also empowers the vision encoder to model temporal...”
Testo

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance di Fan, Jiaojiao, Xue, Haotian, Zhang, Qinsheng, Chen, Yongxin

Sommario: “... coefficient is not necessary and simplifies the controllable generation mechanism. The resulting algorithm...”
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Dividing quantum circuits for time evolution of stochastic processes by orthogonal series density estimation di Miyamoto, Koichi

Sommario: “...Quantum Monte Carlo integration (QMCI) is a quantum algorithm to estimate expectations of random...”
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A Quantum Neural Network-Based Approach to Power Quality Disturbances Detection and Recognition di Li, Guo-Dong, He, Hai-Yan, Li, Yue, Li, Xin-Hao, Liu, Hao, Wang, Qing-Le, Cheng, Long

Sommario: “... algorithms for PQDs detection and recognition have been extensively studied and applied, related work...”
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Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts di Vahedi, Behzad, Lucas, Benjamin, Banaei-Kashani, Farnoush, Barrett, Andrew P., Meier, Walter N., Khalsa, Siri Jodha, Karimzadeh, Morteza

Sommario: “... for automated deep learning-based classification approaches. However, training these algorithms is challenging...”
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Domain Generalization Guided by Large-Scale Pre-Trained Priors di Wang, Zongbin, Pan, Bin, Shen, Shiyu, Shi, Tianyang, Shi, Zhenwei

Sommario: “... with the pre-trained priors for DG. In implementation, we utilize an encoder to simulate the model distribution...”
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Mining Frequent Structures in Conceptual Models di Fumagalli, Mattia, Sales, Tiago Prince, Barcelos, Pedro Paulo F., Micale, Giovanni, Glaser, Philipp-Lorenz, Bork, Dominik, Zaytsev, Vadim, Calvanese, Diego, Guizzardi, Giancarlo

Sommario: “.... This implementation includes an exploratory tool that integrates a frequent subgraph mining algorithm with graph...”
Testo