Résultats de la recherche - coding (algorithmics OR (algorithm OR (algorithm OR Algorithmsssssicsics)))

Invisible Backdoor Attack against Self-supervised Learning par Zhang, Hanrong, Wang, Zhenting, Li, Boheng, Lin, Fulin, Han, Tingxu, Jin, Mingyu, Zhan, Chenlu, Du, Mengnan, Wang, Hongwei, Ma, Shiqing

Table des matières: “… algorithms demonstrate our attack is highly effective and stealthy. It also has strong resistance to existing…”
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A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms par Hao, Hao, Zhang, Xiaoqun, Li, Bingdong, Zhou, Aimin

Table des matières: “… learning algorithms playing a pivotal role in the model-building phase. This paper introduces Kolmogorov…”
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Low-Rank Similarity Mining for Multimodal Dataset Distillation par Xu, Yue, Lin, Zhilin, Qiu, Yusong, Lu, Cewu, Li, Yong-Lu

Table des matières: “… significant improvement to the existing algorithms, marking a significant contribution to the field of visual…”
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XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image par Bai, Qingze, Liu, Tiange, Liu, Zhi, Tong, Yubing, Torigian, Drew, Udupa, Jayaram

Table des matières: “…In this paper, we present XctDiff, an algorithm framework for reconstructing CT from a single…”
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Beyond the Norms: Detecting Prediction Errors in Regression Models par Altieri, Andres, Romanelli, Marco, Pichler, Georg, Alberge, Florence, Piantanida, Pablo

Table des matières: “…This paper tackles the challenge of detecting unreliable behavior in regression algorithms, which…”
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Hidden symmetries and Dehn surgery on tetrahedral links par Mondal, Priyadip

Table des matières: “… an algorithm which when run on SnapPy can test when such symmetries do not exist. We then use this SnapPy code…”
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Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers par Fu, Zhuolin

Table des matières: “… algorithms performed on Bayesian Nets. Based on the above interpretation, we propose a new model design…”
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Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope par Pratiush, Utkarsh, Houston, Austin, Kalinin, Sergei V, Duscher, Gerd

Table des matières: “… avenue to enhance these capabilities by integrating ML algorithms into the STEM-EELS framework, fostering…”
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Open-Source Conversational AI with SpeechBrain 1.0 par Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Nguyen, Ha, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick

Table des matières: “… models and the complete "recipes" of code and algorithms required for training them. This paper presents…”
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HyperSpace: Hypernetworks for spacing-adaptive image segmentation par Joutard, Samuel, Pietsch, Maximilian, Prevost, Raphael

Table des matières: “… to the operating point of algorithms. Specifically, to standardize the physical spacing of imaging voxels…”
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RoboMorph: Evolving Robot Morphology using Large Language Models par Qiu, Kevin, Pałucki, Władysław, Ciebiera, Krzysztof, Fijałkowski, Paweł, Cygan, Marek, Kuciński, Łukasz

Table des matières: “… using large language models (LLMs) and evolutionary algorithms. Each robot design is represented by a…”
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HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks par Mura, Raffaele, Floris, Giuseppe, Scionis, Luca, Piras, Giorgio, Pintor, Maura, Demontis, Ambra, Giacinto, Giorgio, Biggio, Battista, Roli, Fabio

Table des matières: “… by proposing a parametric variation of the well-known fast minimum-norm attack algorithm, whose loss, optimizer…”
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Random Latent Exploration for Deep Reinforcement Learning par Mahankali, Srinath, Hong, Zhang-Wei, Sekhari, Ayush, Rakhlin, Alexander, Agrawal, Pulkit

Table des matières: “…), enhancing exploration while remaining a simple and general plug-in for existing RL algorithms. Project…”
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DEF-oriCORN: efficient 3D scene understanding for robust language-directed manipulation without demonstrations par Son, Dongwon, Son, Sanghyeon, Kim, Jaehyung, Kim, Beomjoon

Table des matières: “… object-based scene representation and diffusion-model-based state estimation algorithm, our framework…”
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KHARMA: Flexible, Portable Performance for GRMHD par Prather, Ben S.

Table des matières: “… mesh refinement") is a new open-source code for conducting general-relativistic magnetohydrodynamic…”
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Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters par Shyam, Vasudev, Pilault, Jonathan, Shepperd, Emily, Anthony, Quentin, Millidge, Beren

Table des matières: “… in parallel through a tree reduction. Our algorithm, called Tree Attention, for parallelizing exact attention…”
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Body Transformer: Leveraging Robot Embodiment for Policy Learning par Sferrazza, Carmelo, Huang, Dun-Ming, Liu, Fangchen, Lee, Jongmin, Abbeel, Pieter

Table des matières: “… algorithms applied to natural language processing and computer vision. Despite notable evidence of successful…”
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BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search par Li, Xianming, Lipp, Julius, Shakir, Aamir, Huang, Rui, Li, Jing

Table des matières: “…BM25, a widely-used lexical search algorithm, remains crucial in information retrieval despite…”
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q-exponential family for policy optimization par Zhu, Lingwei, Shah, Haseeb, Wang, Han, Nagai, Yukie, White, Martha

Table des matières: “… between $q$-exponential policies for several actor-critic algorithms conducted on both online and offline…”
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Supervised Representation Learning towards Generalizable Assembly State Recognition par Schoonbeek, Tim J., Balachandran, Goutham, Onvlee, Hans, Houben, Tim, Hung, Shao-Hsuan, Kustra, Jacek, de With, Peter H. N., van der Sommen, Fons

Table des matières: “… states and states with various types of execution errors. The integration of the proposed algorithm can…”
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