Du et al.
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Gene ancestries reveal diverse microbial associations during eukaryogenesis
Abstract The origin of eukaryotes remains a central enigma in biology1. Continuing debates agree on the pivotal role of a symbiosis between an alphaproteobacterium and an Asgard archaeon2,3. However, the nature, timing and contributions of other potential bacterial partners4,5,6 and the role of interactions with viruses7,8,9 remain contentious.
A thalamus–brainstem attractor network drives history-biased decisions
Abstract Natural environments often change gradually, making it adaptive to bias decisions on the basis of the recent past — a phenomenon known as serial dependence1,2,3. Large-scale recordings during behaviour have identified that serial dependence is a common motif for decision-making, with neural representations of past experiences found throughout the brain4,5,6,7,8,9,10,11. However, it remains unclear whether this bias arises from dedicated neural circuits with history-specific...
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
Announce Type: replace Abstract: We study offline reinforcement learning under $Q^\star$-approximation and partial coverage, a setting that motivates practical algorithms such as Conservative $Q$-Learning (CQL; Kumar et al., 2020) but has received limited theoretical attention. Our work is inspired by the following open question: "Are $Q^\star$-realizability and Bellman completeness sufficient for sample-efficient offline RL under partial coverage?" We answer in the negative via an...
Free energy Estimation on Any State Space
arXiv:2605.31063v1 Announce Type: cross Abstract: Free energy estimation is a fundamental yet challenging problem, from physics to statistics. Classical approaches rely on thermodynamic transformations, ranging from direct estimation, quasistatic integration, to finite-time averaging. [He and Du et al., 2025] learns neural transports to significantly accelerate the efficiency in the finite-time regime.
Free energy Estimation on Any State Space
arXiv:2605.31063v1 Announce Type: cross Abstract: Free energy estimation is a fundamental yet challenging problem, from physics to statistics. Classical approaches rely on thermodynamic transformations, ranging from direct estimation, quasistatic integration, to finite-time averaging. [He and Du et al., 2025] learns neural transports to significantly accelerate the efficiency in the finite-time regime.
Some drugs 'fail' because of unrealistic testing conditions, scientists discover
Some drugs 'fail' because of unrealistic testing conditions, scientists discover Sadie Harley Scientific Editor Robert Egan Associate Editor A drug once dismissed as ineffective suddenly worked—when scientists tested it under more realistic conditions that mimic the human body. In this surprising new discovery, Northwestern University scientists uncovered a hidden rule of drug behavior. A medicine's effectiveness can change dramatically depending on the conditions inside our cells.
Predictive surrogates could cut quantum computing measurement overhead by more than 99.97%
June 6, 2026 feature Predictive surrogates could cut quantum computing measurement overhead by more than 99.97% Ingrid Fadelli Author Sadie Harley Scientific Editor Robert Egan Associate Editor Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of these systems remains very limited, due to their high cost and other challenges that have so far...