Alican
@alicanb_
AI Scientist @paige_ai, PhD @Northeastern, tanguero by night.
ID: 258034226
http://alicanb.github.io 26-02-2011 20:32:02
2,2K Tweet
276 Followers
602 Following
Tomorrow at ICML: Amortized Population Gibbs Samplers with Neural Sufficient Statistics Poster: icml.cc/virtual/2020/p… arXiv: arxiv.org/abs/1911.01382 Work by Hao Wu (Hao Wu), Heiko Zimmermann (Heiko Zimmermann 🦋 [email protected]), Eli Sennesh (Eli Sennesh), and Tuan Anh Le (Tuan Anh Le) [thread]
This week at NeurIPS: Neural Topographic Factor Analysis for fMRI Data [🧵] Authors: Eli Sennesh* (Eli Sennesh), Zulqarnain Khan* (Zulqarnain Khan), Yiyu Wang (Yiyu Wang), Ben Hutchinson, Ajay Satpute (@AjayBSatpute), Jennifer Dy, and myself. Poster (Thu 12pm ET): neurips.cc/virtual/2020/p…
Today at #SABCS20, Matthew G Hanna will share data on our #MachineLearning system designed to detect breast cancer in digital slide images. Watch the presentation here: bit.ly/3oDExwy
THREAD: Lots of us learned classical music from watching old cartoons, so I’m going to identify the pieces that frequently popped up. One of the most recognizable is Franz Liszt’s “Hungarian Rhapsody No. 2,” performed by those great piano virtuosos Bugs Bunny and Tom & Jerry.
New working paper: Learning Proposals for Probabilistic Programs with Inference Combinators ArXiv: arxiv.org/abs/2103.00668 Joint work, several years in the making, by Sam Stites* (Sam Stites @[email protected]), Heiko Zimmermann* (Heiko Zimmermann 🦋 [email protected]), Hao Wu (Hao Wu), and Eli Sennesh (Eli Sennesh) [1/]
Wed at AISTATS: Rate-Regularization and Generalization in Variational Autoencoders Poster: virtual.aistats.org/virtual/2021/p… Paper: proceedings.mlr.press/v130/bozkurt21… Work by Alican Bozkurt (Alican ), Babak Esmaeili (Babak Esmaeili ), Jean-Baptiste Tristan, Dana Brooks, and Jennifer Dy [1/]
Interested in inference programming? Learn about work from Heiko Zimmermann 🦋 [email protected] and me at our #uai2021 poster session in 2h (located in gather.town/app/s0Rw7SwyeW… at poster III-C4)!