(1/5) Excited to announce invited speakers of AI for Drug Discovery and Development #NeurIPS2023 Workshop! They are Michael Bronstein (Oxford), Haoda Fu (Eli Lilly), Tommi S Jaakkola (MIT), Iya Khalil (Merck), Jian Tang (Mila), & Marinka Zitnik (Harvard)! ai4d3.github.io

This is critical for ML research too - deciding what *not* to do is often the most important thing a project leader does!

More updates from our Innovation Grantees!🌱 In our new blog post, the team around Elijah Cole, Grant Van Horn, Thomas Brooks, scott loarie, Oisin Mac Aodha & others present their work on #species distribution mapping from #crowdsourced data: climatechange.ai/blog/2023-09-0…

(((ل()(ل() 'yoav))))👾 yeah this aligns with my general categorization of research - "i got it to work" (most papers) vs "it works" (few papers) [i'm not excluded from the most/few distinction]

A neural network can smell like humans do for the first time!👃🏽 Digital smell is a modality that AI community has long ignored, but maybe one day useful for robot chef 👩🏽‍🍳? Here's how to do smell2text: 1. Collected 5,000 molecules and ask humans to label "creamy, chocolate,

Matrix nearness problems arise often: Given matrix A, what’s the closest matrix that is, say, symmetric, positive definite, orthogonal, or bi-stochastic? Symmetry: There are many ways to symmetrize A: e.g. √AᵀA For unitarily invariant norms, closest Aₛ = (Aᵀ + A)/2 1/5

I'm co-organizing the New ML workshop at Neurips this year! The goal of the workshop is to welcome new researchers in the community. Currently we are looking for volunteers to serve as reviewers. If you are interested please fill this form: docs.google.com/forms/d/e/1FAI….

Interested in pursuing a Master or PhD in an AI-related field? Apply to our Emerging Leaders In AI Program here: forms.gle/TcnntQBihMivha… Participants will be part of a cohort receiving mentorship in preparing their applications, have their application fees waived

🗓️ Update: Our NeurIPS workshop 'Failure Modes in the Age of Foundation Models' now has a submission deadline of October 4th. With just a week to go, please help spread the word. Let's explore foundation models together! 🚀 #NeurIPS2023 #FoundationModels

Science is not a solo endeavor. It's a team sport and you have to play the long game. If you're lucky, you get to play it for decades. If you're doing it right, at the end you will have more friends than papers. (thanks Christian Wolf for the nice photo!) 3/3

I'm hiring PhD students to join my group in the CS department at CU Boulder! 🏔️🦬 We work on statistical and geospatial machine learning, focusing on real-world problems 🌏 and fundamental advances in efficient and responsible ML methods 📈! Oct 10, 11MT: calendar.colorado.edu/event/esther_r…

We're excited to share our latest work! We achieve SOTA results in segmentation, detection, and depth estimation, in single and cross-domain, by exploiting image-aligned text prompts in a pretrained diffusion backbone repurposed for vision tasks. See vision.caltech.edu/tadp/ 🧵👇

I was hinting about this earlier: TMLR (Transactions on Machine Learning Research) now has a partnership with ICLR (ICLR 2025). Any paper accepted to TMLR with the Featured or Outstanding Certification is invited to present their work at ICLR 2024 in Vienna!

Just updated my Tips for CS Faculty Applications: yisongyue.medium.com/checklist-of-t… Best of luck to everyone applying!

I've had a great time meeting everyone at #MLCB2023 in Seattle! 🧬 It's just about the perfect conference - big enough to feel vibrant, small enough to connect with people. I'm excited to come back next year! Recordings and papers: mlcb.github.io

Estimating a species' geographic range is crucial for assessing its vulnerability to environmental changes and human impacts. We propose a new active learning approach for efficiently predicting the range of a species from a limited number of on the ground observations.

I am recruiting PhD students Princeton Computer Science interested in ML applications in bio! Our group aims to define new problems for AI in molecular & structural bio. We work at the intersection of many areas incl 3D vision & generative modeling for proteins. Plus we make useful tools!❄️🐉

We are excited to welcome a fantastic group of speakers for FGVC11! We will hear talks from Carl Vondrick, Phillip Isola, @syeung10, and Ludwig Schmidt. Keep an eye on the program here: sites.google.com/view/fgvc11/pr…

The deadline for our 8-page CVPR proceedings paper track is fast approaching! Submit by March 1st to cmt3.research.microsoft.com/FGVC2024/