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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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In this blog post, we introduce DisCo-DSO (Discrete-Continuous Deep Symbolic Optimization), a novel approach for joint optimization in hybrid discrete-continuous spaces. DisCo-DSO leverages autoregressive models and deep reinforcement learning to optimize discrete tokens and continuous parameters simultaneously. This unified approach leads to more efficient optimization, robustness to non-differentiable objectives, and superior performance in tasks like decision tree learning and symbolic regression. Let’s dive into the key innovations, applications, and results of DisCo-DSO.
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In this blog post, we will explore the potential of integrating ChatGPT with a computational knowledge engine like Wolfram Alpha. In his recent blog post Wolfram Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT, Stephen Wolfram describes how ChatGPT excels in the “human-like parts” of language processing but may struggle with precise answers. By connecting ChatGPT with Wolfram Alpha and its vast computational knowledge, we aim to bridge this gap and provide ChatGPT with the “grounding” into the real world that large language models like GPT are missing. We will create reports with real data and visuals to showcase the potential of this integration. Let’s get started!
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In recent years, the field of scientific discovery has seen a surge of interest in the application of machine learning techniques. One promising approach is Deep Symbolic Optimization (DSO), a computational framework for scientific discovery that treats the discovery problem as a sequential decision-making task. In this blog post, we provide an overview of the DSO framework and its applications to scientific discovery.
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In this blog, we explore the possibility of using machine learning to reconstruct electroanatomical maps at clinically relevant resolutions using only standard 12-lead electrocardiograms (ECGs) as input. The blog post is also available in Medium.
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The Wolfram Demonstrations Project is a collection of interactive examples in the Wolfram Language to illustrate different concepts in mathematics, physics, engineering, and other fields. During the last years, I contributed with some of them. I decided to collect all my Wolfram Demonstrations in a single place.
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Short description of portfolio item number 1
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Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.