Assisted Learning for Organizations with Limited Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: We develop an assisted learning framework for assisting organization-level learners to improve their learning performance with limited and imbalanced data. In particular, learners at the organization level usually have sufficient computation resource, but are subject to stringent […]


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Assisted Learning for Organizations with Limited Imbalanced Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: In the era of big data, many big organizations are integrating machine learning into their work pipelines to facilitate data analysis. However, the performance of their trained models is often restricted by limited and imbalanced data available […]


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Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

Kavli Affiliate: Matthew Fisher | First 5 Authors: James Hong, Matthew Fisher, MichaĆ«l Gharbi, Kayvon Fatahalian, | Summary: Human pose is a useful feature for fine-grained sports action understanding. However, pose estimators are often unreliable when run on sports video due to domain shift and factors such as motion blur and occlusions. This leads to […]


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Subregion Spectrum Form Factor via Pseudo Entropy

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Kanato Goto, Masahiro Nozaki, Kotaro Tamaoka, , | Summary: We introduce a subsystem generalization of the spectral form factor via pseudo entropy, the von-Neumann entropy for the reduced transition matrix. We consider a transition matrix between the thermofield double state and its time-evolved state in two-dimensional conformal […]


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Robust decoding in monitored dynamics of open quantum systems with Z_2 symmetry

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Yaodong Li, Matthew P. A. Fisher, , , | Summary: We explore a class of "open" quantum circuit models with local decoherence ("noise") and local projective measurements, each respecting a global Z_2 symmetry. The model supports a spin glass phase where the Z_2 symmetry is […]


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Decodable hybrid dynamics of open quantum systems with Z_2 symmetry

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Yaodong Li, Matthew P. A. Fisher, , , | Summary: We explore a class of "open" quantum circuit models with local decoherence ("noise") and local projective measurements, each respecting a global Z_2 symmetry. The model supports a spin glass phase where the Z_2 symmetry is […]


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GLASS: Geometric Latent Augmentation for Shape Spaces

Kavli Affiliate: Matthew Fisher | First 5 Authors: Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher | Summary: We investigate the problem of training generative models on a very sparse collection of 3D models. We use geometrically motivated energies to augment and thus boost a sparse collection of example (training) models. We analyze […]


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Entanglement phase transitions in random stabilizer tensor networks

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Zhi-Cheng Yang, Yaodong Li, Matthew P. A. Fisher, Xiao Chen, | Summary: We explore a class of random tensor network models with “stabilizer” local tensors which we name Random Stabilizer Tensor Networks (RSTNs). For RSTNs defined on a two-dimensional square lattice, we perform extensive numerical […]


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Symmetry, Thermodynamics and Topology in Active Matter

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Mark J. Bowick, Nikta Fakhri, M. Cristina Marchetti, Sriram Ramaswamy, | Summary: This article summarizes some of the open questions in the field of active matter that have emerged during Active20, a nine-week program held at the Kavli Institute for Theoretical Physics (KITP) in Spring 2020. […]


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A comparative study of model approximation methods applied to economic MPC

Kavli Affiliate: Biao Huang | First 5 Authors: Zhiyinan Huang, Qinyao Liu, Jinfeng Liu, Biao Huang, | Summary: Economic model predictive control (EMPC) has attracted significant attention in recent years and is recognized as a promising advanced process control method for the next generation smart manufacturing. It can lead to improving economic performance but at […]


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