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07/25/2023
Transfer Learning for Portfolio Optimization
In this work, we explore the possibility of utilizing transfer learning ...
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05/22/2023
Feasibility of Transfer Learning: A Mathematical Framework
Transfer learning is a popular paradigm for utilizing existing knowledge...
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01/27/2023
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
Transfer learning is an emerging and popular paradigm for utilizing exis...
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12/14/2022
Towards mapping the contemporary art world with ArtLM: an art-specific NLP model
With an increasing amount of data in the art world, discovering artists ...
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02/11/2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system
Anomaly detection has been an active research area with a wide range of ...
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06/07/2021
Identifiability in inverse reinforcement learning
Inverse reinforcement learning attempts to reconstruct the reward functi...
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04/25/2021
Generative Adversarial Network: Some Analytical Perspectives
Ever since its debut, generative adversarial networks (GANs) have attrac...
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06/03/2020
Approximation and convergence of GANs training: an SDE approach
Generative adversarial networks (GANs) have enjoyed tremendous empirical...
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02/10/2020