Robuta

Sponsor of the Day: Jerkmate
https://www.amazon.science/publications/accelerating-personalization-signal-learning-via-synthetic-data Accelerating personalization signal learning via synthetic data - Amazon Science Personalized experiences in multimodal assistants rely on accurate user understanding, yet large-scale training for personalization remains limited by privacy... learning viasynthetic dataamazon scienceacceleratingpersonalization https://dblp.org/rec/journals/corr/abs-2503-03705.html dblp: Effective LLM Knowledge Learning via Model Generalization. May 1, 2026 - Bibliographic details on Effective LLM Knowledge Learning via Model Generalization. effective llmknowledge learningvia modeldblpgeneralization https://theaireports.com/translation/playphrase-me/ PlayPhrase.me - Language Learning via Movie Clips Jul 8, 2025 - Use PlayPhrase.me for language learning and cinema research with millions of movie clips. Analyze linguistic trends in films. Check out the reviews. language learningmovie clipsplayphrasevia https://research.google/pubs/scalable-multi-sensor-robot-imitation-learning-via-task-level-domain-consistency/ Scalable Multi-Sensor Robot Imitation Learning via Task-Level Domain Consistency scalable multiimitation learningvia tasklevel domainsensor https://rman.top/2022/10/23/jackknife/ Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence... Mar 13, 2026 - MotivationTL;DR: The major motivation behind this method is: they use Jackknife to estimate the distribution of error, then it use a threshold to f... deep learninghigher orderdiscriminativejackknifequantifying https://www.newswise.com/articles/infoigl-invariant-graph-learning-via-information-bottleneck InfoIGL: Invariant Graph Learning via Information Bottleneck | Newswise Apr 6, 2026 - Graph out-of-distribution generalization is hindered by spurious correlations. The USTC team proposed InfoIGL, leveraging Information Bottleneck principles to... learning viainvariantgraphinformationbottleneck https://www.semanticscholar.org/search?q=Effective+LLM+Knowledge+Learning+via+Model+Generalization. Effective LLM Knowledge Learning via Model Generalization. | Semantic Scholar An academic search engine that utilizes artificial intelligence methods to provide highly relevant results and novel tools to filter them with ease. effective llmknowledge learningvia modelsemantic scholargeneralization https://sim2reason.github.io/ Solving Physics Olympiad via Reinforcement Learning on Physics Simulators A recipe to convert simulators into scalable data generators. via reinforcement learningsolvingphysicsolympiadsimulators https://research.google/pubs/volumetric-capture-of-humans-with-a-single-rgbd-camera-via-semi-parametric-learning/ Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning volumetric capturecamera viahumanssinglesemi https://www.kth.se/blogs/semla/2023/11/ November 2023 – SEMLA: Securing Enterprises via Machine-Learning-based Automation semla securing enterprisesvia machine learningnovember 2023based automation https://www.together.ai/blog/adaptive-learning-speculator-system-atlas AdapTive-LeArning Speculator System (ATLAS): A New Paradigm in LLM Inference via Runtime-Learning... LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS on DeepSeek-V3.1, a 4x... adaptive learningsystem atlasnew paradigmllm inferencespeculator https://python.quantecon.org/inventory_q.html 57. Inventory Management via Q-Learning — Intermediate Quantitative Economics with Python inventory managementq learningintermediate quantitative57via https://hess.copernicus.org/articles/23/5089/2019/ HESS - Towards learning universal, regional, and local hydrological behaviors via machine learning... Abstract. Regional rainfall–runoff modeling is an old but still mostly outstanding problem in the hydrological sciences. The problem currently is that... via machinehesstowardslearninguniversal https://www.sri.com/publication/quantum-pubs/non-markovian-quantum-control-via-model-maximum-likelihood-estimation-and-reinforcement-learning/ Non-Markovian Quantum Control via Model Maximum Likelihood Estimation and Reinforcement Learning -... Jun 4, 2024 - We propose a novel approach that incorporates the non-Markovian nature of the environment into a low-dimensional effective reservoir. quantum controlvia modelmaximum likelihoodreinforcement learningnon https://arxiv.org/html/2604.15023v1 DockAnywhere: Data-Efficient Visuomotor Policy Learning for Mobile Manipulation via Novel... policy learningmanipulation viadataefficientmobile https://beveiligingnieuws.nl/verplichte-bijscholing-praktijkopleiders-digitaal-via-v-learning/ Verplichte bijscholing praktijkopleiders digitaal via V-learning - BeveiligingNieuws Mar 18, 2026 - Sinds 1 januari 2026 is een verplichte bijscholing voor praktijkopleiders in de beveiligingsbranche van kracht. De training wordt volledig digitaal aangeboden... verplichtebijscholingdigitaalvialearning https://www.bircham.edu/degrees/online-master-distance.html Master's Degree Online via distance learning The specialized and practical training that Bircham University offers through the Master's Degree online via distance learning has become almost compulsory at t degree onlinedistance learningmastervia https://www.alphaxiv.org/resources/2604.17335 Learning Whole-Body Humanoid Locomotion via Motion Generation and Motion Tracking | alphaXiv View recent discussion. Abstract: Whole-body humanoid locomotion is challenging due to high-dimensional control, morphological instability, and the need for... whole bodylearninghumanoidlocomotionvia https://www.nikete.com/gengov Generative Governance via Language Model Contracts – Nikete – Machine Learning ∩ Economics. Theory... Work in progress, all comments welcome language modelmachine learningeconomics theorygenerativegovernance https://llp.vt.edu/llc/VIA.html VIA | Living-Learning Programs | Virginia Tech living learning programsvirginia techvia