ML+X Forum Presenter Sign-Up
Thank you for your interest in presenting at the monthly ML+X forum! Please use this form to be added to the presenter queue.

Anyone who is applying machine learning or AI (e.g., regression, clustering, deep learning, classification, NLP, reinforcement learning, etc.) in their work is welcome to present or lead a discussion at the forum. The majority of our attendees are applied practitioners wrestling with their own projects, not ML/AI purists looking to critique. Please see this presentation guidelines document to review the standard format of ML+X presentations.

Meet a future collaborator! Presenters will be given the opportunity to meet with one another (two presenters typically at each event) and the event host prior to giving their talks. Since the presenters share a methods theme, these meetings act as an opportunity to meet a potential future collaborator, share insights from previous work, and discuss plans for future work.

Questions? If you have any questions about presenting, please reach out to Chris Endemann (endemann@wisc.edu).
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Email *
Name *
Department/Affiliation *
Which day(s) are you currently available to present? *
All events are hosted in a hybrid format (zoom and in-person) in the Orchard View room inside the Discovery Building. Presenters may present via Zoom if outside of Madison.

Please be sure to select as many presentation dates as your schedule allows so that we can group together presentations that share a similar methods theme.
Required
Please provide a brief 3-6 sentence summary of your project including the projects end-goal, methods utilized, and one challenge faced throughout the project. *
Domain of application (e.g., Clinical, Physics, Agriculture, Business, Ecology, etc.) *
Please select each of the below ML methods & topics that are relevant to your presentation. *
Required
If you had to pick one overarching methods theme (e.g., computer vision, time-series analysis, transformer models, bias & fairness, etc.) to describe this project, which theme would you pick? *
Did you use any high-throughput computing tools (e.g. CHTC, AWS, Google Cloud) for this project? *
Are you currently using or planning to use any pretrained or foundation models for this project? If so, please share the model(s) you are experimenting with.
Please list three software/ML tools that were vital to this project. *
Please provide a tentative title for your presentation. *
This event is hosted by the ML+X community (https://datascience.wisc.edu/ml-community/). The community has a google group it uses to send reminders about upcoming events. If you aren't already a member of the google group, you can use this link to join: https://groups.google.com/a/g-groups.wisc.edu/g/ml-community-of-practice *
Additional comments
Is there anything else you'd like the event organizers to know?
A copy of your responses will be emailed to the address you provided.
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