I will never forget her elegant book on number theory, co-authored w/ Roya Beheshti. As I was preparing for the Math Olympiad, that book became a source of deep inspiration. It wasn't just the mathematics—it was the clarity of thought. That experience sparked in me a lasting passion for mathematics.
12.05.2025 15:54 — 👍 0 🔁 0 💬 0 📌 0
There are few sights as beautiful as this. Happy #WorldPenguinDay from East Antarctica 🐧💙🇦🇶
🎥: Ben Callahann
25.04.2025 11:05 — 👍 16 🔁 6 💬 0 📌 2
Cheers! I should try this one :)
25.04.2025 22:44 — 👍 0 🔁 0 💬 0 📌 0
When AI gets a trio of capabilities — Intelligence, Affordances (the capacity to act) and Self (agency) — it can become dangerous, said @yoshuabengio.bsky.social during his Richard M. Karp Distinguished Lecture at the Simons Institute. simons.berkeley.edu/events/super...
15.04.2025 23:53 — 👍 5 🔁 1 💬 0 📌 0
I would submit a paper if I could present it online/recorded video.
15.04.2025 14:18 — 👍 0 🔁 0 💬 0 📌 0
FYI, in Palestine you cannot say "down with Hamas". If you don't trust my words, just go to Palestine and try! You'll see the consequences before you get back to your place.
13.04.2025 16:19 — 👍 0 🔁 0 💬 0 📌 0
Quantum Colloquium, 4/15
John Wright (Berkeley)
"How to Locate Unentanglement"
10am PT
Panel: Stephen Jordan (Google), Robert Huang (Caltech), U. Vazirani (Berkeley, mod.)
11am
Info: simons.berkeley.edu/programs-eve...
Zoom: berkeley.zoom.us/j/97697182729
#SimonsQuantum
12.04.2025 00:34 — 👍 15 🔁 3 💬 2 📌 2
The number of uncrossings is still bdd, so, no worries!
09.04.2025 17:26 — 👍 1 🔁 0 💬 0 📌 0
LaTeX source: https://pastebin.com/1sGyGLBT
Here's a very simple calculation showing that adding a bit of randomization can make numerical integration better even in the one-dimensional setting.
04.04.2025 18:27 — 👍 55 🔁 1 💬 2 📌 1
Thank you for letting me know! He is a genius and I met him once in a probability seminar.
06.04.2025 01:59 — 👍 0 🔁 0 💬 0 📌 0
Cool!
06.04.2025 01:45 — 👍 0 🔁 0 💬 0 📌 0
𝐇𝐨𝐰 𝐜𝐚𝐧 𝐰𝐞 𝐩𝐞𝐫𝐟𝐞𝐜𝐭𝐥𝐲 𝐞𝐫𝐚𝐬𝐞 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐟𝐫𝐨𝐦 𝐋𝐋𝐌𝐬?
Our method, Perfect Erasure Functions (PEF), erases concepts perfectly from LLM representations. We analytically derive PEF w/o parameter estimation. PEFs achieve pareto optimal erasure-utility tradeoff backed w/ theoretical guarantees. #AISTATS2025 🧵
02.04.2025 16:03 — 👍 40 🔁 8 💬 2 📌 3
Great interview in which Ewin Tang describes how she shook the quantum world at age 18.
05.04.2025 16:42 — 👍 33 🔁 4 💬 0 📌 1
Love everything related to Talagrand :) Hope the lecture is gonna be recorded.
17.03.2025 16:48 — 👍 0 🔁 0 💬 0 📌 0
I was wondering if IAS hires any post docs in probability theory🤔
17.03.2025 16:41 — 👍 0 🔁 0 💬 1 📌 0
Why is an IMO problem used as a reference? Why don't they try solving an open, long-standing problem in mathematics or other disciplines?
10.03.2025 15:37 — 👍 0 🔁 0 💬 0 📌 0
YouTube video by Oxford Mathematics
Can we truly understand by counting? - Hugo Duminil-Copin
Hello world! let's start with some interesting stuff. A talk by Hugo Duminil-Copin at Oxford Math:
Key observation: "Much more than counting, something that unifies mathematics is the quest for symmetries."
www.youtube.com/watch?v=ruXH...
02.03.2025 02:44 — 👍 1 🔁 0 💬 0 📌 0
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15.
https://neurips.cc/
Fostering the development and dissemination of the theory and applications of statistics and probability
Quantum computing + information | Computer science | postgraduate @ HUJI
Assistant professor in CS @ Colorado State.
Research: Mathematical physics \cap probability \cap algorithms.
Hobbies: chess, badminton, photography, classical music.
Food: Korean & home-made Indian food.
Website: https://juspreetsandhu.me
Research Scientist at Google Research
https://www.cs.unc.edu/~somnath/
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Transactions on Machine Learning Research (TMLR) is a new venue for dissemination of machine learning research
https://jmlr.org/tmlr/
Philosopher who got a gig as political theorist at University of Amsterdam; also known as Ghent Zeppelin. I have a daily substack:
https://digressionsimpressions.substack.com/publish
AI Dialogue Facilitator
Ph.D. in Physics and Mathematics
Data Scientist since 1978.
Chicago, IL, since 2003, US Citizen.
"Πάντων χρημάτων μέτρον ἄνθρωπος, τῶν μὲν ὄντων ὡς ἔστι, τῶν δὲ οὐκ ὄντων ὡς οὐκ ἔστι."
In the past Twitter - @alxfed
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Applied probabilist. Probability, MCMC, optimization, information theory, TCS.
https://mchchoi.github.io/
economics and computer science professor at Northwestern
bengolub.net
social and economic networks
originally from Ukraine
Scientist @ Google.
twitter.com/mmahdian
instagram.com/mmahdian
#مهسا_امینی
#زن_زندگی_آزادی
#نه_به_جمهوری_اسلامی
#MahsaAmini
I #StandWithUkraine 🇺🇦
Caltech theoretical physicist
Mathematician, Applied Mathematician, Probablist, & Stochastic Analysis: SPDEs, Stochastic algorithms and numerics, mathematical biology, and Gerrymandering and Algorthmic Fairness. See Also: Urbanism, Food, Soccer and Durhamite.
The Simons Laufer Mathematical Sciences Institute (SLMath) in Berkeley, California (formerly MSRI). Learn more at slmath.org or http://linktr.ee/mathmoves.
Professor at Caltech. Social Sciences and Statistics.
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
