Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡
Berkeley, CA
Joined December 2016
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Machine Learning at Berkeley retweeted
What if the best visual reasoning steps are ones humans can’t specify? 🤔
Existing VLM reasoning is often constrained by language, pixels, and human-designed intermediates.
We introduce Latent Implicit Visual Reasoning, where we show that VLMs can discover the best visual reasoning steps by themselves — no bboxes, no intermediate images, no extra supervision.
Presenting this week at CVPR!
(1/n)🧵
Machine Learning at Berkeley retweeted
We're excited to announce the fourth Berkeley BioML seminar of the semester happening next Tuesday 4/7! Join us for a talk by Shreshth (@shreshth_gandhi) from @tahoe_ai on Scaling Perturbation-Trained Single-Cell Foundation Models!
luma.com/njhd2xga
Machine Learning at Berkeley retweeted
We're excited to announce the third Berkeley BioML seminar of the semester happening next Tuesday 3/2! Join us for a talk by Vivek Natarajan (@vivnat ) from GDM on advancing science and medicine with collaborative AI agents.
luma.com/532xzjiu
Machine Learning at Berkeley retweeted
We're excited to announce the second Berkeley BioML seminar of the semester happening next Tuesday 2/17! Join us for a talk by Kenny Workman (@kenbwork) from LatchBio about the performance of agents for spatial biology analysis. luma.com/f3xa3dst
Machine Learning at Berkeley retweeted
Another semester, another Berkeley BioML Seminar! We're excited to kick off this semester with a talk from @jeffruffolo from Profluent Bio on designing proteins with language models. Join us Monday night! luma.com/dknwfirh
Machine Learning at Berkeley retweeted
Join us for our next BioML seminar on monday, 1 december with Prof Yunha Hwang on Genomic language modeling for context-aware discovery!
luma.com/74od3h5w
Machine Learning at Berkeley retweeted
Exciting news! We have 3 consecutive Berkeley BioML seminars to close out the semester, starting with a talk on 11/24 from Stanford Prof @brianltrippe on recent progress in generative models for protein design. luma.com/equ8amlk
Machine Learning at Berkeley retweeted
At the Berkeley BioML Seminar next Monday, 11/17, we'll be hearing from @chengzhong_ye about GPN-Star, a phylogenetically-aware genomic language model that achieves state-of-the-art accuracy on a diverse range of downstream tasks. Sign up here! luma.com/foy5xsu0
Machine Learning at Berkeley retweeted
Join us on Monday 10/20 for our next BioML seminar! This week we'll be hearing from Brandon Wood (@bwood_m ) on advancements in molecular modeling from Meta FAIR (OMol25 + UMA) luma.com/prcn3ggj
Machine Learning at Berkeley retweeted
Super excited for the second installment of our BioML Series with Sarah Gurev (@sarahgurev): Benchmarking model performance on pandemic-threat viruses!
Join us this Monday evening 9/29. luma.com/9frccjnj
Machine Learning at Berkeley retweeted
The Berkeley BioML seminar series is back! We're kicking off the semester with a talk from Abhinav Adduri (@abhinadduri) on modeling cell state perturbations with STATE. Join us Monday evening 9/15 luma.com/c5khts90
Machine Learning at Berkeley retweeted
🌟 Calling all developers – our new Gemini API by Google Course is live!
This FREE course is your gateway to mastering the integration of generative AI into your applications, websites, and services. @googledevs
Enroll in this free course today: bit.ly/3VYYbVV
Machine Learning at Berkeley retweeted
A wonderful profile of Arc's @BrianHie in this blog by @BerkeleyML. It traces his training in literary criticism and computer science as he now delves into the language of evolution. Glad to see that other folks share our appreciation for his talent! :)
mlberkeley.substack.com/p/th…
Machine Learning at Berkeley retweeted
I recently gave a talk to @BerkeleyML on Influence Functions through the lens of @AnthropicAI's recent work generalizing them to LLMs.
Slides: docs.google.com/presentation…
We go through the math, engineering, and interesting results uniquely afforded by this technique!
Machine Learning at Berkeley retweeted
Following up on a great seminar on RNA structure prediction from @RDasLab, we’re very excited to be hosting Stephen Eismann (@AtomicAICo) for a talk on foundation models for RNA next Monday evening!! Register here: lu.ma/2aawhfaa
Machine Learning at Berkeley retweeted
So awesome getting to meet @TheChainsmokers' Alex Pall and hearing about his journey in music and in venture! Thanks @jfiance and the @thehousefund team for hosting us @BerkeleyML folks at such a wonderful event!
Machine Learning at Berkeley retweeted
Join the BioML lecture on protein design zoom now! Starting in a couple mins ​berkeley.zoom.us/j/915401415…
Machine Learning at Berkeley retweeted
I had an incredible time talking about @thehousefund with 100+ future Berkeley founders last week. S/o @BerkeleyML for bringing together an incredible group.
If you are starting a company, ideating, or curious about the Berkeley ecosystem shoot me a note [email protected]
Machine Learning at Berkeley retweeted
Amazing start to our spring BioML seminar series with @SGRodriques of @FutureHouseSF 🌟 c/o organizers @SeyoneC @jajoosam
Missed this one? Check out the Zoom recording + upcoming seminars at sam.jajoo.fun/notes/bioml
