Haewon Jeong
@HaewonJeong00
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Assistant Prof @UCSB ECE. Previously, Ph.D student @CMU_ECE & Post-doc @Harvard @hseas. She/her/hers. https://t.co/eukRWcPU9i
Joined October 2022
🌴 Santa Barbara Locals: Do you want to see an AI dance? If so, don't miss this talk by AI researcher and dancer @mathildepapillo @geometric_intel @ai_ucsb ! 🤖🩰 Happening at @kiwacowork next Thursday! ☀️
SB friends! Let's talk AI and dance🩰 Everyone is welcome :) Hosted in collaboration with @kivacowork @geometric_intel @ai_ucsb @ucsbece
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Merci @Polytechnique ! Science needs women. The lack of female scientists has contributed to immense knowledge gaps, eg, in women's health. Our lab develops cutting-edge AI techniques and targets the most urgent issues that we believe are likely to be overlooked otherwise.
[ #Recherche ] 👩🔬 A l’occasion du "Mois #FemmesetScience", rencontre avec Nina Miolane, professeure d'intelligence artificielle à the University of California, Santa Barbara, où elle dirige le Geometric Intelligence Lab. ➡ https://t.co/SU2h1DwtY1
#IPPariswomeninscience
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🚀 Exciting News! 🚀 We had our first Real AI group meeting last week, and it was a fantastic start to our journey together! It was amazing to see everyone's enthusiasm and passion for AI. At Real AI, we seek to pioneer the next frontiers of artificial intelligence for science.
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{UCSB|AI2|UW|Stanford|MIT|UofT|Vector|Contextual AI} present a survey on🔎Data Selection for LLMs🔍 Training data is a closely guarded secret in industry🤫with this work we narrow the knowledge gap, advocating for open, responsible, collaborative progress https://t.co/vpRIXWFdCZ
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I am recruiting postdocs for 2024!😃 3 fellowships available: 🌐Geometric and Topological Deep Learning 🧠Foundation Models for Neuroscience ⚕️AI for Women’s Brain Health. Interested? Apply here! https://t.co/XtErMR7NkY This is how our campus looks like in the winter🌴😜
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The REAL AI team @ UCSB @ai_ucsb is hiring! We have openings for PhD students/Postdoc/visiting researchers! Both Nina @ninamiolane and I @YaoQinUCSD will be at NeurIPS this week. Come to talk to us if you have interests in doing REAL AI research 😊
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Only a few days left to apply! 🧐How? Apply online to UCSB using one of the links given in the reply to this post (not via email). 🕑When? Deadlines: - ECE, CS, Math, Physics: Dec 15th, - DYNS (neuro): Dec 1st. We look forward to your applications!😃 @UofCalifornia
I am recruiting PhD students for 2024!😃 You want to reveal the geometric signatures of natural and artificial intelligence, and crack the neural code? 🌐🧠🤖 Apply to the UCSB Geometric Intelligence Lab✨ This is the view you'd have from... well, your desk🌴
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Santa Barbara Locals: Fascinating talk happening on March 21st! 🤯 Join @AdeleMyersPhD as she delves into the understudied field of female reproductive health and its effects on the brain. @ucsantabarbara @ucsbcs @bioshape_lab @emilyjacobs @caitaylo @UCSBpsych @UCSBPhysics
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Excited to announce the Workshop on Information-theoretic Methods for Trustworthy Machine Learning at the Simons Institute from May 22nd-25th! Stay tuned for more details:
simons.berkeley.edu
Machine learning has enabled tremendously exciting technologies, but at the same time it raises questions as to how it should be deployed in a responsible and trustworthy manner. How can machine...
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FERMI is the first stochastic method for group fairness with guaranteed convergence, with batch size as small as one sample! More on the theoretical/empirical results, the paper, and the code package in the thread by @BaharloueiSina
📢 🚨 Publication Alert🚨📢 In our recently published paper at @TmlrOrg with my fantastic collaborators Andrew Lowy, Rakesh Pavan, @meisamrr, and @abeirami, we propose the first provably "convergent" stochastic algorithm to achieve group fairness in large-scale machine learning.
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🚨neuro-ML internship in NYC 2023🚨 Passionate about comp neuro, neuro-AI, neural network theory, neural manifolds 🧠🤖💻? Multiple summer intern openings at @FlatironCCN @SimonsFdn! To work with my group, mention my name in the app, and email me your CV & research interests.
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Can ChatGPT be an information theorist? Seems like it has the general idea right, but not so talented in calculations. Can you explain why its calculation is wrong? 😉 #ChatGPT #InfoTheory
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If you're interested in #ML #EthicalAI @trustworthy_ml #InfoTheory, I'm hiring Ph.D. students at UCSB. 🚨 One more week left for Fall 2023 applications 🚨 Feel free to reach out to me if you have any questions!
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Please RT If you are a PhD student conducting research in #ML #interpretability, #ResponsibleAI or @trustworthy_ml, we are hiring an intern/student researcher in #GoogleResearch Reach out via email. P.S. I am at #NeurIPS2022 and happy to chat in person! (1/2)
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In poster session 6 in #NeurIPS2022, I will present our paper collaborated with @CMU x @GoogleAI x @UCLA. Can we infer a user node’s preference without using any user labels? Can we instead exploit product nodes’ abundant labels given in their publicly available content? ...🧵
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Please RT Are you a *PhD* student conducting research on generative models? Are you excited about #ResponsibleAI aspects of generation? We are looking to host a student researcher/#internship in 2023. Please get in touch via *email*. P.S. I'll be at #NeurIPS2022 and #emnlp2022
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📣 Looking for PhD candidates in geometry, statistics, shape analysis & deep learning to advance biology, neuroscience & medicine👩🎓🧑🎓 Join our exciting and fast growing research field! https://t.co/uFscuqRkLj
@bioshape_lab @geomstats @neur_reps @UCSBengineering @ucsantabarbara
gi.ece.ucsb.edu
The mission of the Geometric Intelligence Lab is to reveal the geometric signatures of natural and artificial intelligence.
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How much do we tilt? The tilting parameters can be obtained through ADMM optimization, and this can be parallelized over the training samples. That's how we run up to 100x faster than the state-of-the-art fair classification methods on 1M+ training samples.
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The idea is that we can find a fair and accurate version of the classifier by projecting a trained classifier onto the set of fair classifiers. This projection turned out to have a closed-form solution and it's simply tilting the output score function!🤯
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