RVPO: Risk-Sensitive Alignment via Variance Regularization
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving them vulnerable to constraint neglect:… machinelearning.apple.com
Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
90 articles
Current critic-less RLHF methods aggregate multi-objective rewards via an arithmetic mean, leaving them vulnerable to constraint neglect:… machinelearning.apple.com
At the end of 2024, a paper titled "Streaming Deep Reinforcement Learning Finally Works" (arXiv:2410.14606) sparked extensive discussions in the academic... eu.36kr.com
Normalizing Flows (NFs) are a classical family of likelihood-based methods that have received revived attention. Recent efforts such as… machinelearning.apple.com
image: Design Framework for Adaptive Randomization with Interim Analyses. view more. Credit: Y.Park and S.Nycklemoe, “MARGO: Machine Learning-Assisted... eurekalert.org
A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, helping explain why a single... medicalxpress.com
A new study from VIB and KU Leuven has revealed that Parkinson's disease comprises five distinct molecular subtypes, each requiring tailored therapeutic... drugtargetreview.com
Operational noise, typically detrimental to quantum systems, unexpectedly improves the performance of newly constructed quantum kernels. quantumzeitgeist.com
A study that claimed OpenAI's ChatGPT can positively impact student learning has been retracted nearly one year after publication. arstechnica.com
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Penn engineers built an AI math tool that solves inverse PDEs faster and more reliably, even with noisy data. thebrighterside.news
Penn Engineers develop new framework for inverse partial differential equation learning, which could help researchers infer hidden dynamics in systems... eurekalert.org
Genetic prediction of type 1 diabetes is one of the most successful for complex traits. A machine learning approach now improves this further and discovers... nature.com
A new debiasing approach called WRING resolves the "Whac-a-Mole dilemma" of existing debiasing approaches that can create or amplify existing biases. news.mit.edu
Large Language Models (LLMs) demonstrate their reasoning ability through chain-of-thought (CoT) generation. However, LLM's autoregressive… machinelearning.apple.com
In a groundbreaking development poised to revolutionize medical research across borders, a team of scientists led by Zhou, D., Tong, H., and Wang,... bioengineer.org
Japanese researchers trained cultured rat cortical neurons to autonomously generate complex temporal signals using a real-time machine learning… inkl.com
Researchers at Gladstone Institutes have built a temporal foundation model that forecasts cell state trajectories across the human lifespan — and... marktechpost.com
At Carnegie Mellon University, a new initiative will bring together experts in AI, statistics and astrophysics to accelerate that shift. cmu.edu
Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir computing. neurosciencenews.com
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised... news-medical.net