Fan Feng

49 posts

Fan Feng

Fan Feng

@ffeng01

Postdoc @UCSanDiego, @mbzuai | working on world models & causality | Previously @CityUHongKong | Visitor @UvA_Amsterdam

가입일 Kasım 2016
879 팔로잉222 팔로워
Fan Feng 리트윗함
Kun Zhang-in pursuit of Causality with ML
MBZUAI Machine Learning Winter School 2026: Representation Learning & GenAI (mlws.mbzuai.ac.ae) on Feb. 9-13, 2026, in Abu Dhabi, UAE. Application Deadline: Oct. 20, 2025! Join us for an exciting 5-day program with world-class researchers! Funding available! #MBZUAI
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ELLIS
ELLIS@ELLISforEurope·
🏹 Job alert: PhD Position on Learning Concepts with Theoretical Guarantees Using Causality and RL in Amsterdam Join @AmlabUva and cooperate with @tudelft. 📍 Amsterdam 🇳🇱 📅 Apply by: June 15th bit.ly/3SfkNQP
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Phillip Lippe
Phillip Lippe@phillip_lippe·
Personal update: Excited to have joined @GoogleDeepMind in Mountain View, working with the amazing @m__dehghani and team on training the next-gen Gemini models. Looking forward to the incredible work ahead! 🚀🤖
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Biwei Huang
Biwei Huang@huang_biwei·
Super excited to announce our Causal-Copilot: an LLM-driven toolkit for automatic causal analysis! Gain precise insights effortlessly, without requiring deep expertise in causality!😀
Biwei Huang@huang_biwei

x.com/i/article/1856…

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RL Beyond Rewards Workshop
RL Beyond Rewards Workshop@RLBRew_RLC·
🥳RLBReW Social🥳 @ RLC (@RL_Conference ) Socials are 🧡 of any conference. We invite you to join us on the evening of August 9 to discuss wacky RL ideas, and find friends and collaborators! RSVP here: lu.ma/500nd7gj
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Taco Cohen
Taco Cohen@TacoCohen·
The main issues with the RL framework are the low information content of the reward signal, the task-specificity / lack of generality of reward signals, and the question where reward comes from in the first place (especially for abstract goals where recognizing success itself requires intelligence). This workshop looks at various ways to do RL without handcrafted rewards, and it looks like they've accepted a bunch of very interesting papers.
RL Beyond Rewards Workshop@RLBRew_RLC

Paper decisions have been released, and the accepted papers 🎉 can also be found on our website (rlbrew-workshop.github.io/papers.html). Keep a look out for incoming Poster and Camera-ready instructions. We look forward to seeing everyone in Amherst!

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RL Beyond Rewards Workshop
RL Beyond Rewards Workshop@RLBRew_RLC·
⚠️ Final call for submitting your ideas on RL beyond Rewards at the Reinforcement Learning Conference @RL_Conference! Check out our earlier posts for more info and call for papers.
RL Beyond Rewards Workshop@RLBRew_RLC

On popular demand due to the upcoming Neurips deadline, we are further extending the submission deadline to 👉23 May 2024👈 AoE! Excited to see your ideas brewing for NeurIPS. Moreover, submissions in NeurIPS format are allowed.

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RL Beyond Rewards Workshop
RL Beyond Rewards Workshop@RLBRew_RLC·
Announcing the Reinforcement Learning Beyond Rewards workshop at the first @RL_Conference. Think that rewards aren't enough for RL? Working on RLHF? Thinking of alternative ways of alignment? Creating a foundational model for RL? or have ideas on task-agnostic RL algo? Join us
RL Beyond Rewards Workshop tweet media
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Davide Talon
Davide Talon@davidetalon94·
🎓 Exciting News! 🎓 Last week, I successfully defended my thesis on "Structured Representation Learning for Visual Data"! 🌟 It's been a hell of a ride! Thanks to my advisors @alessiodelbue and @sttujames, all mentors and colleagues who supported me throughout this journey! 🚀
Davide Talon tweet media
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Yubin Xie
Yubin Xie@Yubin_Xie·
Excited to reunite with everyone at #NeurIPS2023 next month! Don't forget to check out our workshop @ICBINBWorkshop on the failure modes of foundation models: shorturl.at/qrtJM (Looks like we added one more foundation model failure mode after last weekend!) 🤓
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