Cognition, Adaptation and Learning (CAandL) Lab

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Cognition, Adaptation and Learning (CAandL) Lab

Cognition, Adaptation and Learning (CAandL) Lab

@caandl_lab

A theoretical machine learning and computational neuroscience lab at the University of the Witwatersrand.

South Africa Katılım Mart 2025
20 Takip Edilen25 Takipçiler
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Wits CSAM
Wits CSAM@CSAM_Wits·
We would like to congratulate and wish the Faculty of Science well on the launch of the AMPLIFY Unit lead by Abdul Hamid Carrim! Mathematics is at the heart of Computer Science and we are excited to see this step towards promoting excellence in 1st Year Mathematics.
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Wits University
Wits University@WitsUniversity·
🎉 Congratulations to Jess Rees and Tristan Bester on being awarded the highly competitive Google PhD Fellowship for 2025 . 💙🏛️ This prestigious fellowship recognises exceptional PhD candidates from the School of Computer Science and Applied Mathematics (CSAM) at Wits whose research shows outstanding potential for groundbreaking scientific contributions and meaningful societal impact. Read More: ow.ly/JcFH50XZZsP #WitsForGood #WitsResearch #InnovationForGood
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Geraud Nangue Tasse
Geraud Nangue Tasse@geraudnt·
Excited to be at @RL_Conference 🇨🇦 this week! I'm presenting two talks on logical composition in RL (Aug 6, Track 3) + a poster at @RLFrameWorkshop on a simple yet effective approach for non-Markov RL (Aug 5). Huge thanks to my amazing co-authors 🥳. Come say hi!
Geraud Nangue Tasse tweet media
Geraud Nangue Tasse@geraudnt

Thrilled to share that our paper was just published in JAIR (jair.org/index.php/jair…)! We formalise task composition in RL using lattice structures📷, building a general framework for logical composition over arbitrary tasks beyond Boolean logic. (1/8) 🧵👇

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Siobhan Mackenzie Hall
Siobhan Mackenzie Hall@smhall97·
🏆We are so proud of our ✨Honourable Mention✨ for the #FAccT2025 Best Paper Awards! This work was borne out of (com)passion, determination & a commitment to challenging norms in dataset collection & evaluation. Read more here➡️arxiv.org/abs/2406.09496
ACM FAccT@FAccTConference

🏆 Announcing the #FAccT2025 best paper awards! 🏆 Congratulations to all the authors of the three best papers and three honorable mention papers. Be sure to check out their presentations at the conference next week! facct-blog.github.io/2025-06-20/bes…

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UniReps
UniReps@unireps·
The first session is happening tomorrow, May 29th at 4:30 PM CET, online via Zoom! 🔵🔴 See you there!
UniReps@unireps

🎉 We’re thrilled to announce the first @ELLISforEurope × Unireps Speaker Series (Reading Group associated with ELLIS PhD & Postdoc Program) session is happening soon! 🔜 🗓️ When: 29th May 2025 – CET 📍 Where: ethz.zoom.us/j/66426188160 🎙️ Who: @AndrewLampinen (Keynote) & @Jack_W_Lindsey (Flash Talk) 👉 Join our Google group for more updates: groups.google.com/u/2/g/ellis-un…

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RAIL Lab 🇿🇦
RAIL Lab 🇿🇦@raillabwits·
Great news! This work has also been accepted into RLC for the Journal to Conference Track. Congrats @geraudnt and teams for the great result 🦾
Geraud Nangue Tasse@geraudnt

Thrilled to share that our paper was just published in JAIR (jair.org/index.php/jair…)! We formalise task composition in RL using lattice structures📷, building a general framework for logical composition over arbitrary tasks beyond Boolean logic. (1/8) 🧵👇

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Devon Jarvis
Devon Jarvis@devonjarvi5·
Our paper, “Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks” will be presented at ICLR 2025 this week (openreview.net/forum?id=27SSn…)! We derive closed-form dynamics for some, remarkably linear, feature learning ReLU networks (1/9)
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UniReps
UniReps@unireps·
🚀Exciting News! 🚀 Join us for the first UniReps x @UCL_Neuro_AI Meetup at @ucl @SWC_Neuro on Sept 8, 2025! 🎉 📍 Register now! 👉docs.google.com/forms/d/e/1FAI… 🔬 Exploring unifying representations in neural models—both artificial & biological. 🎙️ Keynote by Iris Groen (University of Amsterdam) 🧠 Tutorials, talks & networking with top minds in AI & neuroscience!
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Clémentine Dominé, Phd 🍊@NeurIPS
Our paper, “A Theory of Initialization’s Impact on Specialization,” has been accepted to ICLR 2025! openreview.net/forum?id=RQz7s… We shows how neural network can build specialized and shared representation depending on initialization, this has consequences in continual learning. (1/8)
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