Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics

Posted by dbos UCSF

Kavli Affiliate: Michael Keiser | Authors: Parker Grosjean, Kaivalya Shevade, Cuong Nguyen, Sarah Ancheta, Karl Mader, Ivan Franco, Seok-Jin Heo, Greyson Lewis, Steven Boggess, Angelique De Domenico, Erik Ullian, Shawn Shafer, Adam Litterman, Laralynne Przybyla, Michael J Keiser, Jamie Ifkovits, Adam Yala and Martin Kampmann | Summary: High-throughput phenotypic screening has historically relied on manually […]


Continue.. Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey | Summary: Recent advances in machine learning, combined with the generation of extensive density functional theory (DFT) datasets, have enabled the development of universal machine learning interatomic potentials (uMLIPs). These models offer broad applicability across the periodic […]


Continue.. Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys

Probing intermediate-mass black hole binaries with the Lunar Gravitational-wave Antenna

Posted by dbos Peking

Kavli Affiliate: Lijing Shao | First 5 Authors: Hanlin Song, Han Yan, Yacheng Kang, Xian Chen, Junjie Zhao | Summary: New concepts for observing the gravitational waves (GWs) using a detector on the Moon, such as the Lunar Gravitational-wave Antenna (LGWA), have gained increasing attention. By utilizing the Moon as a giant antenna, the LGWA […]


Continue.. Probing intermediate-mass black hole binaries with the Lunar Gravitational-wave Antenna

Thermoelastic Damping Across the Phase Transition in van der Waals Magnets

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Alvaro Bermejillo-Seco, Xiang Zhang, Maurits J. A. Houmes, Makars Šiškins, Herre S. J. van der Zant | Summary: A quantitative understanding of the microscopic mechanisms responsible for damping in van der Waals nanomechanical resonators remains elusive. In this work, we investigate van der Waals magnets, where the […]


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Propagation-induced Frequency-dependent Polarization Properties of Fast Radio Burst

Posted by dbos Peking

Kavli Affiliate: Renxin Xu | First 5 Authors: Wei-Yang Wang, Xiaohui Liu, Dongzi Li, Bing Zhang, Chen-Hui Niu | Summary: Frequency-dependent polarization properties provide crucial insights into the radiation mechanisms and magnetic environments of fast radio bursts (FRBs). We explore an analytical solution of radiative transfer of the polarization properties of FRBs as a strong […]


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Separable Dorsal Raphe Dopamine Projections mediate the Facets of Loneliness-like state

Posted by dbos UCSD / Salk

Kavli Affiliate: Kay Tye | Authors: Christopher R Lee, Gillian A Matthews, Mackenzie E Lemieux, Elizabeth M Wasserlein, Matilde Borio, Raymundo L Miranda, Laurel R Keyes, Gates P Schneider, Caroline Jia, Andrea Tran, Faith Aloboudi, May G Chan, Enzo Peroni, Grace Pereira, Alba López-Moraga, Anna Pall é, Eyal Y Kimchi, Nancy Padilla-Coreano, Romy Wichmann and […]


Continue.. Separable Dorsal Raphe Dopamine Projections mediate the Facets of Loneliness-like state

Frequency auto-homogenization using group-velocity-matched downconversion

Posted by dbos Cornell

Kavli Affiliate: Jeffrey Moses | First 5 Authors: Dylan Heberle, Christopher C. Tison, James Schneeloch, A. Matthew Smith, Paul M. Alsing | Summary: With the stability of integrated photonics at network nodes and the advantages of photons as flying qubits, photonic quantum information processing (PQIP) makes quantum networks increasingly scalable. However, scaling up PQIP requires […]


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EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Hong Qiu, Yingying Huang, Xiaozhe Gu, Renfang Wang | Summary: Magnetotelluric (MT) forward modeling is fundamental for improving the accuracy and efficiency of MT inversion. Neural operators (NOs) have been effectively used for rapid MT forward modeling, demonstrating their promising performance in solving the MT […]


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ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

Posted by dbos UCSB

Kavli Affiliate: Matthew Fisher | First 5 Authors: Nissim Maruani, Wang Yifan, Matthew Fisher, Pierre Alliez, Mathieu Desbrun | Summary: This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize shape variations based on a single reference model. While generative methods for 3D objects have recently attracted much attention, current techniques often […]


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Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Prasanta Bhattacharya, Hong Zhang, Yiming Cao, Wei Gao, Brandon Siyuan Loh | Summary: Stance detection has emerged as a popular task in natural language processing research, enabled largely by the abundance of target-specific social media data. While there has been considerable research on the development of stance […]


Continue.. Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models