Risultati della ricerca - coding ((algorithmssics OR (algorithmsssic OR algorithmicsic)) OR (algorithm OR algorithm))

MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images di Wang, Yaqi, Li, Zhi, Wu, Chengyu, Liu, Jun, Zhang, Yifan, Ni, Jiaxue, Luo, Qian, Chen, Jialuo, Zhang, Hongyuan, Liu, Jin, Han, Can, Fu, Kaiwen, Ji, Changkai, Cai, Xinxu, Hao, Jing, Zheng, Zhihao, Xu, Shi, Chen, Junqiang, Zhang, Qianni, Qian, Dahong, Wang, Shuai, Zhou, Huiyu

Sommario: “...) registered teams. To ensure algorithmic excellence and full transparency, we rigorously evaluated the valid...”
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Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning di Mitra, Purbesh, Ulukus, Sennur

Sommario: “... optimization (GRPO), which is a commonly used RLVR algorithm. Our code is available at https://github.com...”
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How Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline di Zhang, Chunhui, Liu, Li, Zhang, Zhipeng, Wang, Yong, Wen, Hao, Zhou, Xi, Ge, Shiming, Wang, Yanfeng

Sommario: “... of 50 modern deep tracking algorithms demonstrates that there is still significant room for improvement...”
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TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning di Yang, Shenzhi, Zhu, Guangcheng, Zheng, Xing, MA, Yingfan, Chen, Zhongqi, Song, Bowen, Wang, Weiqiang, Zhao, Junbo, Chen, Gang, Wang, Haobo

Sommario: “... an effective policy optimization algorithm, TraPO, that identifies reliable unlabeled samples by matching...”
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HERO-Sign: Hierarchical Tuning and Efficient Compiler-Time GPU Optimizations for SPHINCS+ Signature Generation di Zhou, Yaoyun, Wang, Qian

Sommario: “... algorithm that adapts fusion schemes to different GPU architectures. To further improve performance, HERO...”
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SP-Rank: A Dataset for Ranked Preferences with Secondary Information di Hosseini, Hadi, Mandal, Debmalya, Puhan, Amrit

Sommario: “... algorithms that leverage both first-order preferences and second-order predictions in ranking tasks. Each...”
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TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents di Wang, Dawei, Zhou, Chengming, Zhao, Di, Liu, Xinyuan, Ma, Marci Chi, Ushaw, Gary, Davison, Richard

Sommario: “... evaluate two classic reinforcement learning algorithms: Ape-X DQN and PPO. By offering a lightweight...”
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Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems di Koike, Tomoki, Mohan, Prakash, de Frahan, Marc T. Henry, Bessac, Julie, Qian, Elizabeth

Sommario: “... access to the underlying code or full model operators, i.e., non-intrusively. Traditional OpInf operates...”
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FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design di Zhang, Jiahao, He, Zifan, Fraser, Nicholas, Blott, Michaela, Sun, Yizhou, Cong, Jason

Sommario: “... lines of code. The system includes: (1) a stage-customized accelerator with hardware-efficient...”
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Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning di Kim, Moo Jin, Gao, Yihuai, Lin, Tsung-Yi, Lin, Yen-Chen, Ge, Yunhao, Lam, Grace, Liang, Percy, Song, Shuran, Liu, Ming-Yu, Finn, Chelsea, Gu, Jinwei

Sommario: “...'s pretrained priors and core learning algorithm to capture complex action distributions. Additionally, Cosmos...”
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EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking di Bhattacharya, Rishabh, Manwani, Naresh

Sommario: “... algorithm where an edge masker learns to find worst-case continuous masks subject to a sparsity constraint...”
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Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX di Agarwal, Manan, Vink, Jacco, Gu, Liyi, Plucinsky, Paul P., Bamba, Aya, Sato, Toshiki, Rogantini, Daniele, Ohshiro, Yuken

Sommario: “... Bayesian framework that couples the SPEX plasma code with the UltraNest nested-sampling algorithm, yielding...”
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MonoLoss: A Training Objective for Interpretable Monosemantic Representations di Nasiri-Sarvi, Ali, Nguyen, Anh Tien, Rivaz, Hassan, Samaras, Dimitris, Hosseini, Mahdi S.

Sommario: “... training and evaluation. We study a recent MonoScore metric and derive a single-pass algorithm...”
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Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis di Barman, Pronob Kumar, Barman, Pronoy Kumar

Sommario: “...Predictive policing systems that direct patrol resources based on algorithmically generated crime...”
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ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance di Qiu, Xuebo, Lv, Mingqi, Zhang, Yimei, Zhu, Tiantian, Chen, Tieming

Sommario: “... strategies. To segment APT behaviors, a heuristic-driven threat graph sampling algorithm is designed, which...”
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Cyclic light variations and accretion disk evolution in the LMC eclipsing binary OGLE-LMC-DPV-062 di Mennickent, R. E., Djurašević, G., Rosales, J. A., Garcés, J., Petrović, J., Schleicher, D. R. G., Soszyński, I.

Sommario: “... an optimized simplex algorithm to derive the best-fitting parameters of the stars, orbit, and disk. The MESA...”
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High-Precision Computation and PSLQ Identification of Stokes Multipliers for Anharmonic Oscillators di Zhou, Jian

Sommario: “... acceleration, and the PSLQ integer relation algorithm to discover exact closed-form expressions for fundamental...”
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Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving di Huang, Zilin, Wan, Zhengyang, Sheng, Zihao, Wang, Boyue, You, Junwei, Leng, Yue, Chen, Sikai

Sommario: “... algorithms across different reward paradigms and validate the contribution of each module. Zero-shot...”
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ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image di Lin, Chia-Hsiang, Leng, Zi-Chao

Sommario: “... interpretability and operates as a linear-time algorithm. Remarkably, it can process a million-scale Sentinel-2...”
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ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers di Hsu, Chih-Chung, Ma, Xin-Di, Liao, Wo-Ting, Lee, Chia-Ming

Sommario: “...}, an algorithmic reformulation of online softmax attention that (i)~preserves exact softmax semantics in real...”
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