Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge

Kavli Affiliate: Jing Wang | First 5 Authors: Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Jing Wang | Summary: CLIP (Contrastive Language-Image Pre-training) has attracted widespread attention for its multimodal generalizable knowledge, which is significant for downstream tasks. However, the computational overhead of a large number of parameters and large-scale pre-training poses challenges of […]


Continue.. Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge

Disentangling Metallicity Effects in Hot Jupiter Occurrence Across Galactic Birth Radius and Phase-Space Density

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Rayna Rampalli, Melissa K. Ness, Elisabeth R. Newton, Andrew Vanderburg, Tobias Buck | Summary: We explore how the correlation between host star metallicity and giant planets shapes hot Jupiter occurrence as a function of Galactic birth radius (rbirth) and phase-space density in the Milky Way disk. Using […]


Continue.. Disentangling Metallicity Effects in Hot Jupiter Occurrence Across Galactic Birth Radius and Phase-Space Density

A genetic driver of epileptic encephalopathy impairs gating of synaptic glycolysis

Kavli Affiliate: Timothy A. Ryan | Authors: Zhanat Koshenov, Alexandros C. Kokotos, Lorena Benedetti, Jennifer Lippincott Schwartz and Timothy A. Ryan | Summary: The brain is a disproportionately large consumer of fuel, estimated to expend ∼20% of the whole-body energy budget, and therefore it is critical to adequately control brain fuel expenditures while satisfying its […]


Continue.. A genetic driver of epileptic encephalopathy impairs gating of synaptic glycolysis

Cosmic-ray and Interstellar Gas Properties in the Solar Neighborhood Revealed by Diffuse Gamma Rays

Kavli Affiliate: Igor V. Moskalenko | First 5 Authors: Tsunefumi Mizuno, Katsuhiro Hayashi, Hinako Ochi, Igor V. Moskalenko, Elena Orlando | Summary: To investigate the interstellar medium (ISM) and Galactic cosmic rays (CRs) in the solar neighborhood, we analyzed ${gamma}$-ray data by Fermi Large Area Telescope (LAT) for five nearby molecular cloud regions. Our data […]


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Background Measurements and Simulations of the ComPair Balloon Flight

Kavli Affiliate: Sven Herrmann | First 5 Authors: Zachary Metzler, Nicholas Kirschner, Lucas Smith, Nicholas Cannady, Makoto Sasaki | Summary: ComPair, a prototype of the All-sky Medium Energy Gamma-ray Observatory (AMEGO), completed a short-duration high-altitude balloon campaign on August 27, 2023 from Fort Sumner, New Mexico, USA. The goal of the balloon flight was the […]


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Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration

Kavli Affiliate: Changhuei Yang | First 5 Authors: Ninghe Liu, Yu Xi Huang, Simon Mahler, Changhuei Yang, | Summary: Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this can degrade CBF measurement fidelity, particularly […]


Continue.. Optimized cerebral blood flow measurement in speckle contrast optical spectroscopy via refinement of noise calibration

Observing Leptogenesis in Action with Gravitational Waves

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Hitoshi Murayama, Bea Noether, Jan Schütte-Engel, , | Summary: Leptogenesis is arguably the best motivated theory of baryogenesis given the discovery of finite neutrino masses, yet its experimental test is elusive given its high energy scale. We discuss gravitational waves (GWs) produced via graviton bremsstrahlung in right-handed […]


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Dense SAE Latents Are Features, Not Bugs

Kavli Affiliate: Max Tegmark | First 5 Authors: Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan | Summary: Sparse autoencoders (SAEs) are designed to extract interpretable features from language models by enforcing a sparsity constraint. Ideally, training an SAE would yield latents that are both sparse and semantically meaningful. However, many SAE latents […]


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Chemical Abundances in the Metal-Poor Globular Cluster ESO 280-SC06: A Formerly Massive, Tidally Disrupted Globular Cluster

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Sam A. Usman, Alexander P. Ji, Jandrie Rodriguez, Jeffrey D. Simpson, Sarah L. Martell | Summary: We present the first high-resolution abundance study of ESO 280-SC06, one of the least luminous and most metal-poor gravitationally bound Milky Way globular clusters. Using Magellan/MIKE spectroscopy for ten stars, […]


Continue.. Chemical Abundances in the Metal-Poor Globular Cluster ESO 280-SC06: A Formerly Massive, Tidally Disrupted Globular Cluster

Deep Learning Improves Parameter Estimation in Reinforcement Learning Models

Kavli Affiliate: Marcelo Mattar | Authors: Hua-Dong Xiong, Li Ji-An, Marcelo G Mattar and Robert C Wilson | Summary: Cognitive modeling in psychology and neuroscience provides a formal approach to formulate and test hypotheses of cognitive processes. Such models rely on cognitive parameters that are intended to represent interpretable and identifiable psychological constructs. However, accurately […]


Continue.. Deep Learning Improves Parameter Estimation in Reinforcement Learning Models