Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning

Posted by klaurent Peking

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Imitation learning (IL) is a paradigm for learning sequential decision making policies from experts, leveraging offline demonstrations, interactive annotations, or both. Recent advances show that when annotation cost is tallied per trajectory, Behavior Cloning (BC) which relies solely on offline demonstrations cannot […]


Continue.. Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning

Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s Disease

Posted by dbos UCSF

Kavli Affiliate: Jeremy Willsey | Authors: Elina Kostyanovskaya, Micaela C. Lasser, Belinda Wang, James Schmidt, Ethel Bader, Chad Buteo, Juan Arbelaez, Aria Rani Sindledecker, Kate E. McCluskey, Octavio Castillo, Sheng Wang, Jeanselle Dea, Kathryn A. Helde, J. Michael Graglia, Elise Brimble, David B. Kastner, Aliza T. Ehrlich, Matthew W. State, A. Jeremy Willsey and Helen […]


Continue.. Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s Disease

Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

Posted by dbos Columbia

Kavli Affiliate: Liam Paninski | Authors: Stefano Fusi and Liam Paninski | Summary: The brain is highly structured both at anatomical and functional levels. However, within individual brain areas, neurons often exhibit very diverse and seemingly disorganized responses. A more careful analysis shows that these neurons can sometimes be grouped together into specialized subpopulations (categorical […]


Continue.. Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by klaurent Stanford

Kavli Affiliate: Risa Wechsler | Summary:Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these uncertainties, we examine quenched and star-forming galaxies using two distinct approaches to modeling galaxy […]


Continue.. How do uncertainties in galaxy formation physics impact field-level galaxy bias?

How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by klaurent Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: , , , , | Summary: Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these uncertainties, we examine quenched […]


Continue.. How do uncertainties in galaxy formation physics impact field-level galaxy bias?

The Sloan Digital Sky Survey Reverberation Mapping Project: Insights on Maximizing Efficiency in Lag Measurements and Black-Hole Masses

Posted by dbos Peking

Kavli Affiliate: Luis C. Ho | First 5 Authors: Y. Homayouni, Yuanzhe Jiang, W. N. Brandt, C. J. Grier, Jonathan R. Trump | Summary: Multi-year observations from the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) project have significantly increased the number of quasars with reliable reverberation-mapping lag measurements. We statistically analyze target properties, light-curve characteristics, […]


Continue.. The Sloan Digital Sky Survey Reverberation Mapping Project: Insights on Maximizing Efficiency in Lag Measurements and Black-Hole Masses

How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Posted by dbos Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Mahlet Shiferaw, Nickolas Kokron, Risa H. Wechsler, , | Summary: Our ability to extract cosmological information from galaxy surveys is limited by uncertainties in the galaxy-dark matter halo relationship for a given galaxy population, which are governed by the intricacies of galaxy formation. To quantify these […]


Continue.. How do uncertainties in galaxy formation physics impact field-level galaxy bias?

Training Large Language Models to Reason in a Continuous Latent Space

Posted by klaurent Cornell

Kavli Affiliate: Zhiting Tian | First 5 Authors: Shibo Hao, Shibo Hao, , , | Summary: Large language models (LLMs) are typically constrained to reason in the language space, where they express the reasoning process through a chain-of-thought (CoT) to solve complex problems. However, the language space may not always be optimal for reasoning. Most […]


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