Papers

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machine learning Sep 16 Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models by Niki Triantafyllou, Andrea Bernardi, Maria M. Papathanasiou machine learning Sep 16 Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging by Liang-Ching Tao, Pi-Chung Wang machine learning Sep 16 Knowledge as Orbit: Finite Collections as Phases of an Exactly Periodic Latent Generator by Siddharth Pal, Viktoria Rojkova machine learning Sep 15 Disentangling Representation Evolution in Transformers through Directional Decomposition by Shwai He, Haichao Zhang, Shen Yan machine learning Sep 15 ResSafe: Learning Safety Filtering with Residual Reinforcement Learning for Humanoids by Gechen Qu, Tong Zhang, Bike Zhang, Yen-Jen Wang, Koushil Sreenath, Claire Tomlin, Jason Jangho Choi machine learning Sep 15 A Chosen Future Can Still Be Rewritten: Causal Writability in Video Models by Xingyun Wang, Haomin Zheng, Man Yuan, Leqian Yang, Ziming Liu machine learning Sep 14 Type Diversity Enables Transformers to Generalise Compositionally by Anssi Moisio, Mathias Creutz, Mikko Kurimo machine learning Sep 14 MAxBench: A Multinomial Concept Recovery Benchmark by Divya Appapogu, Freya Behrens, Yonatan Belinkov, Aaron Mueller machine learning Sep 14 CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models by Blake Olson, Yuhang Song, Emmett McQuinn, Yuan Shangguan machine learning Sep 11 General Quantification of Covariate and Concept Shifts by Hongbo Chen, Li Charlie Xia