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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.
Pages
About Me
About me
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Posts
Gymnastics, a science & a team sport
Published:
portfolio
Video Question Answering
Video Question Answering was a class project that I had worked on as part of the Question Answering Class (11-797). For this project, I explored how temporal information in videos can be leveraged to improve Video Question Ansering 
Project Report
IdeaNet
IdeaNet is a personal project to improve the teammatching process. It’s a site where people can search for others with simialr ideas for class projects or projects for specific events. After running a a few customer interviews and pilot cases, it became appearent that teammatching requires more communication that is not addressed by the site. As such it was pivoted to aid in mentorship matching where similar interests are also key. 
Infusing Stable Diffusion (Image to Image generation)
For my capstone project, we worked on generating Images to create consistent images for comics. For this I focused on developing an approach for image-to-image generation, where prior images could be used to bias the Stable Diffusion process. 
Colab Notebook, PDF of report
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is How Trees can Fly. Other work will not be done on this topic.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
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
Characterizing Neuro-Symbolic Reasoning in NLP
Published in SUKI: Structured and Unstructured Knowledge Integration, Workshop at NAACL 2022, 2022
Neuro-symbolic reasoning has recently seen a revival as a promising way to bridge the gap between deep learning models that manipulate continuous spaces and the symbolic representations. Despite its promise, the term “neurosymbolic” remains nebulous and is used in various contexts, from systems that rely on having a rule-based sub-component to systems trained end-to-end using techniques like reinforcement learning. In this work, we conduct a survey of its various interpretations amongst researchers in the natural language processing (NLP) community along with a survey of prior work that focuses on neuro-symbolic methods.
Download here
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.