This is definitely one of the most informative threads out there. Thank you 𝙷𝚒𝚖𝚊 𝙻𝚊𝚔𝚔𝚊𝚛𝚊𝚓𝚞! Clear, concise and super informative tutorials.

Interested in Earth's observation data, Climate reanalysis & Machine Learning❓ Avishree Khare and Het Shah will present their ML4Land #ESoWC2021 project during our #AMA webinar on 15 July #Register now to the even at this link👇 esowc.ecmwf.int/ESoWC-2021-Pro… ECMWF Copernicus ECMWF

ML4Land aims to detect #Earth heating patterns using #MachineLearning to learn the mapping between #ERA5 variables & #satelliteobservations of skin temperature 🎧 their developers Het Shah Avishree Khare 🗣️: youtube.com/watch?v=dLPTPh… esowc.ecmwf.int ECMWF Copernicus ECMWF

A wonderful initiative by SAiDL and it's free for all ☺️. Do attend for some great talks on AI!

New dates are out! We will be having the AI Symposium on the weekend of 2nd and 3rd October. Registrations are free! For more details: Website: bit.ly/ai-symposium-21 Registration: forms.gle/ywQxSVzDUjz97w… Mailing List: bit.ly/ai_symposium_m… See you there!

Avishree Khare and Het Shah are presenting their results for #ML4Land What is ML4Land? The projects aims at detecting #Earth heating patterns using #MachineLearning to learn the mapping between #ERA5 variables & #satelliteobservations of skin temperature

First top conf paper, "Incremental Learning for Animal Pose Estimation using RBF k-DPP," got accepted at BMVC! Glad we were able to change the mind of reviewer #2 from reject to borderline accept :P Project page coming soon :)

A few amazing folks placed during the Day 1 hiring drive at BITS Pilani were at the unfortunate end of getting their offers rescinded by a $100Mn+ venture backed startup. Incase your firm is hiring for SDE 1 roles, kindly DM 🙏 I'll share the resumes with you. RT for Karma!🙌

I am excited to share that we are presenting our work: "Repair Is Nearly Generation: Multilingual Program Repair with LLMs" at #AAAI23 this week! My ever-charming advisor, @josepablocam, will present the poster on 12th Feb in person. If you are attending, please visit! (1/n)

The PROSE team is hiring Research Fellows in India to work on program synthesis⚡This is a 1-year appointment to do applied research that will impact millions of people using Excel, Visual Studio, Power Query, and more! microsoft.com/en-us/research…

How can we seamlessly combine Language Models and Symbolic Reasoners to get the best of both worlds? Introducing our work appearing at #ACL2023 this week: Paper: arxiv.org/abs/2305.03742 Code: github.com/moqingyan/dsr-… 🧵👇 (1/6)

Hey Friends, I am looking for a new role as a Research Engineer/Associate Researcher, MLE or even a SWE(I think I am pretty good!). I have had the chance to work Microsoft as a predoctoral research fellow and Prodigal as a SWE.

It's that time of the year again, so re-surfacing this: github.com/shaily99/advice (It is not advice from me, it is just a dump of my bookmarks to helpful articles from when I was applying to grad school)

Two highly talented undergrads in my research group are looking for SWE internship roles in Summer 2024. ✨✨ Do you need someone to build a beautiful front-end for a new product? (1/3)

Are you an undergraduate interested in doing research in Programming 🖥️ Languages 🗣️? Then you should apply to REPL (penn-repl.github.io), a 10-week summer program to do research with PL students and faculty at Penn. All REPL students get a stipend 💸 Deadline: March 1st!

It was really fun to work w/ Anton Xue Rajeev Alur Surbhi Goel and Eric Wong! We attempt to understand how (and why) LLMs can be attacked to err on tasks with simple in-context instructions (user-provided rules, safety prompts, etc.). See the original thread for more details!

Reminder to apply to join the software engineering group@Cornell! cs.cornell.edu/research/softw… RT!

I am looking for 1-2 PhD students interested broadly in computer systems, compilers, and/or PL! If you would like to do your PhD in a vibrant city with great weather, next to the sea 🌊, and the mountains 🏔️, make sure to apply to UCLA and mark my name as a potential advisor!

#ICLR2025 Oral LLMs often struggle with reliable and consistent decisions under uncertainty 😵‍💫 — largely because they can't reliably estimate the probability of each choice. We propose BIRD 🐦, a framework that significantly enhances LLM decision making under uncertainty. BIRD

Do come to our poster tomorrow if you're attending ICLR 2026 and are interested in AI safety / Automated reasoning / Formal logic with LLMs!