New York Machine Learning Research Guild
An informal machine-learning research community in New York. Monthly colloquia, trading ideas, and working on research together. Open to anyone with a sincere interest with the will to do Great Work.
Colloquia & Events
Come to learn about the latest in research, and to share about your whacky ideas. Of course, meeting the others, putting faces to names, and talking shop is part of the fun.
- Food and drinks are provided.
- Seats are limited by room capacity, so reserve one on Luma before you come.
- Signed up but can't make it? Cancel on Luma. It frees the seat for someone else and prevent food waste.
A program in collaboration with CUNY Tech Prep. Speaker and topic to be announced.
Manhattan, NYC · venue TBA
Sign up on Luma →A program in collaboration with Intuit. Speaker and topic to be announced.
Manhattan, NYC · venue TBA
Sign up on Luma →What this is
Activities, functions and scope of the Guild
- Discord(Upcoming)
- A shared space to trade knowledge, papers, and questions. Opens to members once the colloquia are running regularly.
- Monthly colloquia
- Researchers from local institutions and labs present their work; members meet, network, and exchange ideas. Open to attend, limited only by room capacity.
- Industry & events
- Sharing sessions with industry, hackathons, guild trips to conferences, and joint workshops.
- Research Party
- NY-MLR is also a place to find collaborators for a research project by forming a Research Party. More details later.
Culture & values
Our core guiding principles
Sincere interest is enough to belong.
Anyone genuinely curious about the field and its ideas has a place here.
Collaboration comes first.
Courtesy and respect are the baseline. Treat others as you'd want to be treated.
We aim high.
Welcoming as it is, the guild means to do work that matters.
The bar is there to lift, not to shut people out.
Standards exist to push everyone toward better work, not to gatekeep for its own sake.
Give back what you were given.
Help others grow, and yield when it's called for. That's what a community is for.
“If you don't work on important problems, it's not likely that you'll do important work.”— Richard Hamming