Risultati della ricerca - coding (Algorithmsssic OR (algorithm OR (Algorithmsssic OR Algorithmsssic)))

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation di Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

Sommario: “..., researchers proposed many algorithms to aid neural network understanding and provide additional information...”
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ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation di Huang, Shiqi, He, Shuting, Wen, Bihan

Sommario: “...Instance segmentation algorithms in remote sensing are typically based on conventional methods...”
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Using matrix-product states for time-series machine learning di Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

Sommario: “... an MPS-based algorithm, MPSTime, for learning a joint probability distribution underlying an observed...”
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LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System di Olowe, Emmanuel A., Chitnis, Danial

Sommario: “... by Large Language Models (LLMs) to generate code. LABIIUM's Lab-Automation-Measurement Bridges (LAMBs...”
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TrajLearn: Trajectory Prediction Learning using Deep Generative Models di Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Sommario: “... to assess the impact of key model components. Furthermore, we developed a novel algorithm to generate mixed...”
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Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction di Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Sommario: “...-means clustering algorithm to rearrange the visual codebook into clusters, ensuring high similarity...”
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Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern di Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

Sommario: “... decomposition algorithm to break down the dual graph of the input matrix into fine-grained subgraphs...”
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CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection di Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Sommario: “... detection algorithms in streaming scenarios, factoring in both latency and accuracy). It demonstrates robust...”
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Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping di Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

Sommario: “... distributed algorithms to efficiently scale. Various model parallelism strategies are used in multi-gpu...”
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ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission di Mugnai, Lorenzo V., Bocchieri, Andrea, Pascale, Enzo, Lorenzani, Andrea, Papageorgiou, Andreas

Sommario: “... architecture using Task classes, encapsulating simulation algorithms and functions. This flexible design...”
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ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis di Liu, Haoxiong, Sun, Jiacheng, Li, Zhenguo, Yao, Andrew C

Sommario: “...-search algorithm, enabling our construction of an efficient recursive proving (ERP) module to further...”
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Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization di Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.

Sommario: “... this void, we develop Multi-Objective Coverage Bayesian Optimization (MOCOBO), a BO algorithm for solving...”
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VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images di Maqsood, Arooba, Ilyas, Zaid, Saleem, Afsah, Zhang, Erchuan, Suter, David, Raina, Parminder, Hodgson, Jonathan M., Schousboe, John T., Leslie, William D., Lewis, Joshua R., Gilani, Syed Zulqarnain

Sommario: “.... The abdominal aorta crop detection algorithm achieved 100% accuracy in validation and 96% accuracy (sensitivity...”
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Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes di Jayawardhana, Mayuka, Renbo, Dooley, Samuel, Cherepanova, Valeriia, Wilson, Andrew Gordon, Hutter, Frank, White, Colin, Goldstein, Tom, Goldblum, Micah

Sommario: “... performance against numerous baselines and ensembling algorithms. We find that PFN-Boost achieves the best...”
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Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework di Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Sommario: “... demonstrate that the pre-trained Sym-Q surpasses existing SR algorithms on the challenging SSDNC benchmark...”
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Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection di Song, Dongsu, Ko, Daehwa, Jung, Jay Hoon

Sommario: “... randomness and avoids patch dependency by leveraging rewards generated through a one-step RL algorithm...”
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Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion di Puglisi, Lemuel, Alexander, Daniel C., Ravì, Daniele

Sommario: “...) algorithm, which (a) enforces spatiotemporal consistency in the predicted progression at inference time...”
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Quantifying Phase Magnitudes of Open-Source Focused-Probe 4D-STEM Ptychography Reconstructions di Susi, Toma

Sommario: “... range of direct and iterative open-source phase reconstruction algorithms, evaluating...”
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Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization di Chen, Zhongwei, Yang, Zhao-Xu, Rong, Hai-Jun, Li, Guoqi

Sommario: “.... It employs a clustering algorithm to generate pseudo-labels and adopts a dual-path contrastive learning...”
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Systematic Bayesian Optimization for Atomic Structure Calculations of Heavy Elements di da Silva, Ricardo Ferreira, Flörs, Andreas, Leitão, Luís, Marques, José P., Martínez-Pinedo, Gabriel, Sampaio, Jorge M.

Sommario: “... algorithm to refine the fictitious mean configuration, iteratively minimising the discrepancy between...”
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