Viral-mediated Oct4 overexpression and inhibition of Notch signaling synergistically induce neurogenic competence in mammalian Muller glia.

Kavli Affiliate: Seth Blackshaw | Authors: Nguyet Le, Sherine Awad, Isabella Palazzo, Thanh Hoang and Seth Blackshaw | Summary: Retinal Müller glia in cold-blooded vertebrates can reprogram into neurogenic progenitors to replace neurons lost to injury, but mammals lack this ability. While recent studies have shown that transgenic overexpression of neurogenic bHLH factors and glial-specific […]


Continue.. Viral-mediated Oct4 overexpression and inhibition of Notch signaling synergistically induce neurogenic competence in mammalian Muller glia.

Dissecting supergraviton six-point function with lightcone limits and chiral algebra

Kavli Affiliate: Xinan Zhou | First 5 Authors: Vasco Goncalves, Maria Nocchi, Xinan Zhou, , | Summary: We develop a bootstrap strategy to obtain the six-point function of supergravitons in $AdS_5times S^5$ from symmetry constraints and consistency conditions. Compared to previous bootstrap algorithms, a novel feature is the use of lightcone OPEs together with the […]


Continue.. Dissecting supergraviton six-point function with lightcone limits and chiral algebra

The Power Spectrum of the Thermal Sunyaev-Zeldovich Effect

Kavli Affiliate: George Efstathiou | First 5 Authors: George Efstathiou, Fiona McCarthy, , , | Summary: The power spectrum of unresolved thermal Sunyaev-Zeldovich (tSZ) clusters is extremely sensitive to the amplitude of the matter fluctuations. This paper present an analysis of the tSZ power spectrum using temperature power spectra of the cosmic microwave background (CMB) […]


Continue.. The Power Spectrum of the Thermal Sunyaev-Zeldovich Effect

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation

Kavli Affiliate: Long Zhang | First 5 Authors: Lei Huang, Hao Guo, Linzhi Peng, Long Zhang, Xiaoteng Wang | Summary: We introduce SessionRec, a novel next-session prediction paradigm (NSPP) for generative sequential recommendation, addressing the fundamental misalignment between conventional next-item prediction paradigm (NIPP) and real-world recommendation scenarios. Unlike NIPP’s item-level autoregressive generation that contradicts actual […]


Continue.. SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation

Diverse Inference and Verification for Advanced Reasoning

Kavli Affiliate: Avi Shporer | First 5 Authors: Iddo Drori, Gaston Longhitano, Mao Mao, Seunghwan Hyun, Yuke Zhang | Summary: Reasoning LLMs such as OpenAI o1, o3 and DeepSeek R1 have made significant progress in mathematics and coding, yet find challenging advanced tasks such as International Mathematical Olympiad (IMO) combinatorics problems, Abstraction and Reasoning Corpus […]


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Evidence of the P_ccbars(4459)0 in Upsilon(1S, 2S) inclusive decays at Belle

Kavli Affiliate: T. Higuchi | First 5 Authors: I. Adachi, L. Aggarwal, H. Ahmed, J. K. Ahn, H. Aihara | Summary: Using data samples of 102 million Upsilon(1S) events and 158 million Upsilon(2S) events collected by the Belle detector at the KEKB asymmetric-energy e+e- collider, we search for [udsccbar] pentaquark states decaying to Jpsi Lambda. […]


Continue.. Evidence of the P_ccbars(4459)0 in Upsilon(1S, 2S) inclusive decays at Belle

$Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu, | Summary: Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained […]


Continue.. $Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum

$Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Davide Piras, Laura Herold, Luisa Lucie-Smith, Eiichiro Komatsu, | Summary: Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained […]


Continue.. $Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum

Daily ultrastructural remodeling of clock neurons

Kavli Affiliate: Mark Ellisman | Authors: Juan I. Ispizua, Micaela Rodriguez-Caron, Francisco J. Tassara, Kim Keun-young, Catalina Insusarry Perkins, Milagros Barzi, Christian Carpio-Romero, Celia N. Hansen, Julian Gargiulo, Ezio Rosato, Horacio de la iglesia, Mark Ellisman and M. Fernanda Ceriani | Summary: In Drosophila, about 250 clock neurons in the brain form a network that […]


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Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex

Kavli Affiliate: Kenneth Miller | Authors: Peijia Yu, Yuhan Yang, Olivia Gozel, Ian Oldenburg, Mario Dipoppa, Federico Rossi, Kenneth Miller, Hillel Adesnik, Na Ji and Brent Doiron | Summary: In sensory cortex of brain it is often the case that neurons are spatially organized by their functional properties. A hallmark of primary visual cortex (V1) […]


Continue.. Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex