Neekon Vafa
@NeekonVPhD student @MIT | Ex-Software Engineer @Google (@YouTube) | Mathematics + CS @Harvard '19 | 🥌
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New paper: How can you tell if a transformer has the right world model? We trained a transformer to predict directions for NYC taxi rides. The model was good. It could find shortest paths between new points But had it built a map of NYC? We reconstructed its map and found this:
Belated updates: 1- I defended my PhD in May! Big thank you to my committee and especially to my advisor, @blei_lab 2- I'm excited to start a postdoc at Harvard! Very grateful to @harvard_data for the opportunity.
1/ I had the opportunity to join the @DataSkeptic podcast to discuss CAREER, a method that uses transfer learning to model career trajectories. This is a project I've been working on with @blei_lab and @Susan_Athey's group. Thank you for having me on! open.spotify.com/episode/7tZ032…
#ePrint MacORAMa: Optimal Oblivious RAM with Integrity: S Mathialagan, N Vafa ia.cr/2023/083
Excited to speak this Saturday at the #NeurIPS2022 Workshop on Distribution Shifts about CAREER, a transformer-based method for modeling career trajectories from labor sequence data. arxiv.org/abs/2202.08370 w/ @Susan_Athey, @blei_lab, @EmilPalikot, @TianyuDu7, @AyushKanodia
#ePrint Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures: A Gupte, N Vafa, V Vaikuntanathan ia.cr/2022/437
TR21-166 | Average-case Hardness of NP and PH from Worst-case Fine-grained Assumptions | Lijie Chen, Shuichi Hirahara, Neekon Vafa ift.tt/3HECwdO
New paper: arxiv.org/abs/2109.06387 Consider a sequence generated by a language model. Which words were most important for generating each word? We propose greedy rationalization: greedily finding the smallest subset of words that would make the same prediction as the full text.
Here's my conversation with Cumrun Vafa (@cumrunv), a theoretical physicist at Harvard specializing in string theory. He is the co-recipient of the Breakthrough Prize in Fundamental Physics, the most lucrative academic prize in the world. youtube.com/watch?v=j4_VyR…
I’m excited to share my new book, Puzzles to Unravel the Universe, based on a freshman seminar I teach at Harvard. It includes over a hundred puzzles and discussion on how they relate to deep ideas in physics and math. Available in paperback and Kindle: amazon.com/Puzzles-Unrave…
Thank you! It's been an honor being part of the club over the past 3 years, where I first learned to curl, and I'm excited to see all that the club can accomplish under the new leadership. Good curling! 🥌🥌🥌
We've been profiled by @thecrimson! #roadtonationals thecrimson.com/article/2019/3…
Just had a stunning realization. The SAT went from being out of 2400 back to being out of 1600. That means 3SAT reduces to 2SAT and P=NP. QED
Bill does his poll again to determine those who say P ≠ NP and those who are delusional. blog.computationalcomplexity.org/2018/07/solici…
Spoilers: on the first throw, scissors is significantly better than uniformly random...because people really like paper?
The Riddler’s Inaugural Rock-Paper-Scissors Tournament 53eig.ht/2KaVf2J
Not exactly the right season, but watch if you want to know how curling works or how I look with a beard
Will you be watching curling at the #Olympics? Last year the Crimson curling program finished 4th in the country at the USA College Championships hrvd.me/brooma1b0
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Who to follow
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Stefan Szeider
@StefanSzeider -
Yash Patil
@ypatil125 -
milfex-lostex
@milfex_lostex -
Zachary Himmelsbach
@z_himmelsbach -
Data Plumber(He/Him)
@Data__Plumber -
Keyon Vafa
@keyonV -
Nikhil Benesch
@nikhilbenesch -
Jacob C Tanner
@JacobCTanner1 -
Adrian Brown 🇺🇸
@bnadrnx -
Mohammad
@MmdAlirezaei -
Hantao Yu
@HantaoYu_Theory -
TEDDO
@TedRock10
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