Richard Cornelius SUWANDI
PulseAugur coverage of Richard Cornelius SUWANDI — every cluster mentioning Richard Cornelius SUWANDI across labs, papers, and developer communities, ranked by signal.
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New paper details theoretical limits of universal AI prediction
A new arXiv paper by Richard Cornelius Suwandi explores the theoretical underpinnings of universal prediction agents, specifically focusing on approximations of Solomonoff induction. The research delves into how feedbac…
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Kernel Autoresearch discovers reusable inductive biases for ML models
Researchers have developed Kernel Autoresearch (Kernaut), a novel approach to discovering new machine learning kernels. Kernaut treats kernel design as an open-ended model discovery process, where coding agents generate…
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New research improves Bayesian optimization efficiency for high-dimensional tasks · 2 sources tracked
Two new research papers introduce novel approaches to enhance the efficiency of Bayesian optimization (BO) in high-dimensional and large-budget scenarios. The first paper, GRAPE, refines local gradients and uses progres…
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CUHK-Shenzhen AI Faculty's 6 Papers Accepted to Top ML Conference ICML 2026
Six research papers from professors at the Chinese University of Hong Kong, Shenzhen, have been accepted to ICML 2026, a top-tier machine learning conference. The accepted works span areas such as efficient routing for …