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Conditional Generation and Style Transfer of Molecules

Posted on 30.8.2020 by amina

The development of a new medicine takes typically over 12 years or even longer [1]. When not taking into account the clinical trial or other stages of drug discovery, the stage of designing molecules for pharmaceuticals itself is a time-consuming … Continue reading →

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Outdoor positioning for the IoT world

Posted on 26.8.2019 by Grigorios Anagnostopoulos

How can I get an estimate of my position using a mobile device? The answer to this question would be quite complex a few decades ago. On the other hand, the spontaneous answer of most people nowadays would be “using … Continue reading →

Lifelong Generative Modeling

Posted on 27.11.2018 by Jason

The case for lifelong learning Lifelong learning (also known as continual learning) is the problem of learning multiple consecutive tasks in a sequential manner where knowledge gained from previous tasks is retained and used for future learning [1]. Living in … Continue reading →

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Sample-Efficient Imitation Learning via Generative Adversarial Nets

Posted on 15.11.2018 by lionel

Generative Adversarial Imitation Learning (GAIL) [1] is a recent successful imitation learning architecture that exploits the adversarial training procedure introduced in Generative Adversarial Networks (GAN) [2]. Albeit successful at generating behaviours similar to those demonstrated to the agent, GAIL suffers … Continue reading →