Adjacent Leader Decentralized Stochastic Gradient Descent

Kavli Affiliate: Jing Wang | First 5 Authors: Haoze He, Jing Wang, Anna Choromanska, , | Summary: This work focuses on the decentralized deep learning optimization framework. We propose Adjacent Leader Decentralized Gradient Descent (AL-DSGD), for improving final model performance, accelerating convergence, and reducing the communication overhead of decentralized deep learning optimizers. AL-DSGD relies on […]


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Symmetrically Threaded SQUIDs As Next Generation Kerr-cat Qubits

Kavli Affiliate: Ke Wang | First 5 Authors: Bibek Bhandari, Irwin Huang, Ahmed Hajr, Kagan Yanik, Bingcheng Qing | Summary: Kerr-cat qubits are bosonic qubits with autonomous protection against bit-flips. They have been studied widely using driven Superconducting Nonlinear Asymmetric Inductive eLement (SNAIL) oscillators. We theoretically investigate an alternate circuit for the Kerr-cat qubit, namely […]


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Dendritic excitations govern back-propagation via a spike-rate accelerometer

Kavli Affiliate: Liam Paninski | Authors: Pojeong Park, J. David Wong-Campos, Daniel Itkis, Byung Hun Lee, Yitong Qi, Hunter C. Davis, Benjamin Antin, Amol Praveen Pasarkar, Jonathan B. Grimm, Sarah E. Plutkis, Katie L. Holland, Liam Paninski, Luke Lavis and Adam Ezra Cohen | Summary: Dendrites on neurons support nonlinear electrical excitations, but the computational […]


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Sub-relativistic Outflow and Hours-Timescale Large-amplitude X-ray Dips during Super-Eddington Accretion onto a Low-mass Massive Black Hole in the Tidal Disruption Event AT2022lri

Kavli Affiliate: Erin Kara | First 5 Authors: Yuhan Yao, Muryel Guolo, Francesco Tombesi, Ruancun Li, Suvi Gezari | Summary: We present the tidal disruption event (TDE) AT2022lri, hosted in a nearby ($approx!144$ Mpc) quiescent galaxy with a low-mass massive black hole ($10^4,M_odot < M_{rm BH} < 10^6,M_odot$). AT2022lri belongs to the TDE-H+He subtype. More […]


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Large Neighborhood Prioritized Search for Combinatorial Optimization with Answer Set Programming

Kavli Affiliate: Naoyuki Tamura | First 5 Authors: Irumi Sugimori, Katsumi Inoue, Hidetomo Nabeshima, Torsten Schaub, Takehide Soh | Summary: We propose Large Neighborhood Prioritized Search (LNPS) for solving combinatorial optimization problems in Answer Set Programming (ASP). LNPS is a metaheuristic that starts with an initial solution and then iteratively tries to find better solutions […]


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