Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric Gan, Max Tegmark, , | Summary: We introduce Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable. Inspired by brains, BIMT embeds neurons in a geometric space and augments the loss function with a cost proportional to the length […]


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Correcting for Interference in Experiments: A Case Study at Douyin

Kavli Affiliate: Huawei Zhang | First 5 Authors: Vivek F. Farias, Hao Li, Tianyi Peng, Xinyuyang Ren, Huawei Zhang | Summary: Interference is a ubiquitous problem in experiments conducted on two-sided content marketplaces, such as Douyin (China’s analog of TikTok). In many cases, creators are the natural unit of experimentation, but creators interfere with each […]


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Resolving the muon $g-2$ tension through $Z’$-induced modifications to $σ_{mathrm{had}}$

Kavli Affiliate: Carlos E. M. Wagner | First 5 Authors: Nina M. Coyle, Carlos E. M. Wagner, , , | Summary: The QED hadronic vacuum polarization function plays an important role in the determination of precision electroweak observables and of the anomalous magnetic moment of the muon. These contributions have been computed from data, by […]


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Inspiraling streams of enriched gas observed around a massive galaxy 11 billion years ago

Kavli Affiliate: Ran Wang | First 5 Authors: Shiwu Zhang, Zheng Cai, Dandan Xu, Rhythm Shimakawa, Fabrizio Arrigoni Battaia | Summary: Stars form in galaxies, from gas that has been accreted from the intergalactic medium. Simulations have shown that recycling of gas-the reaccretion of gas that was previously ejected from a galaxy-could sustain star formation […]


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Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models

Kavli Affiliate: Jing Wang | First 5 Authors: Qiufeng Wang, Xu Yang, Shuxia Lin, Jing Wang, Xin Geng | Summary: During the continuous evolution of one organism’s ancestry, its genes accumulate extensive experiences and knowledge, enabling newborn descendants to rapidly adapt to their specific environments. Motivated by this observation, we propose a novel machine learning […]


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Observationally guided models for the solar dynamo and the role of the surface field

Kavli Affiliate: Robert Cameron | First 5 Authors: Robert Cameron, Manfred Schüssler, , , | Summary: Theoretical models for the solar dynamo range from simple low-dimensional “toy models” to complex 3D-MHD simulations. Here we mainly discuss appproaches that are motivated and guided by solar (and stellar) observations. We give a brief overview of the evolution […]


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Distributionally robust chance constrained Markov decision process with Kullback-Leibler divergence

Kavli Affiliate: Jia Liu | First 5 Authors: Tian Xia, Jia Liu, Abdel Lisser, , | Summary: This paper considers the distributionally robust chance constrained Markov decision process with random reward and ambiguous reward distribution. We consider individual and joint chance constraint cases with Kullback-Leibler divergence based ambiguity sets centered at elliptical distributions or elliptical […]


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Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Gregory Prigozhin | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices

Kavli Affiliate: Peter Orel | First 5 Authors: Tanmoy Chattopadhyay, Sven Herrmann, Peter Orel, Kevan Donlon, Gregory Prigozhin | Summary: We demonstrate so-called repetitive non-destructive readout (RNDR) for the first time on a Single electron Sensitive Readout (SiSeRO) device. SiSeRO is a novel on-chip charge detector output stage for charge-coupled device (CCD) image sensors, developed […]


Continue.. Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices