David Nagy

How do human minds make sense of big, messy problems? 😵‍💫🌀 How do we distill complexity into something simple enough to solve? 🤔💡 We’ll be tackling these questions (and more!) at two workshops on task representations, abstractions, and construals #CogSci2026 #CCN2026 🧵

Full text accessible here: rdcu.be/epxF3

Our @NatRevPsych Perspective with Gergo Orban and @TheCharleyWu is out. We take a normative perspective on the interplay of semantic and episodic memory, starting from the conundrum: how to learn a compression model while using it to compress the very data it will be updated on?

Looking forward to #CCN2023 tomorrow in Oxford! A great selection of research from @HanqiZhou_Ivy @alexandrawitt_ @AFurryBear1 @valerio_rubino @FraBraendle @RyutaroUchiyama @nir_moneta + many other hmc-lab.com members / collabs. See you there! @CogCompNeuro

@timoflesch @SaxeLab @The_MRC @summerfieldlab Yay! Congrats Timo!

We're wrapping up at #cshlNeuroAI 2022, and it's been wonderful to spend the week hearing about fascinating research in Neuro-AI. Such great interactions! Thanks to my co-organizers @TonyZador and @doristsao, and everyone else who participated. Hope to see you all next time!

From #PLOSCompBio: Optimal forgetting: Semantic compression of episodic memories Very relevant to the last #LearningSalon! dx.plos.org/10.1371/journa…

Check out & open review the @CogCompNeuro #CCNGAC proposal “What makes representations “useful”?” by @TBBake @wrongu @KriegeskorteLab @xaqlab, Alessandro Achille, Rosa Cao & Odelia Schwartz openreview.net/forum?id=HHk5t…

Deadline extended to *April 15* due to popular demand! List of speakers almost complete! Check out our website eeml.eu and submit your application ASAP!

Exciting news! The (virtual) destination for EEML2021 is Budapest eeml.eu! School dates July 7-15. Applications due March 31st! Don't miss out! Welcome David, @fhuszar, Gergo to the orgs team!

Our preprint on how lossy compression via generative models explains memory distortions in humans is now available on bioarxiv

Neuroscience professors. Can you help mentor neuromatch academy participants? We currently expect ~3k so we need help. Through matching you will work with students that are interesting to you. Please sign up here: docs.google.com/forms/d/e/1FAI…

#EEML2019 in Bucharest was a truly outstanding week. If you want to get to know more about my experience and some ML insights - checkout my new blog post! Massive thank you to @EEMLcommunity and all the wonderful people I got to know! roberttlange.github.io/posts/2019/06/…

Excellent new work by the Orban lab on stimulus-dependent noise correlations pnas.org/content/early/…

"BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling". A skip-connected generative model and a bidirectional inference network are all you need! Work with @larsmaaloe @LieValentin @OleWinther1 arxiv.org/abs/1902.02102

Talks for the Probabilistic Programming conference #PROBPROG2018 are now available! youtube.com/playlist?list=… Includes, e.g., Zoubin Ghahramani @djsyclik Dave Blei @roydanroy @tom_rainforth @migorinova Stuart Russell, Josh Tenenbaum, and many others. probprog.cc

Taming VAEs: A theoretical analysis of their properties and behaviour in the high-capacity regime. We also argue for a different way of training these models for robust control of key properties. It was fun thinking about this with @fabiointheuk arxiv.org/abs/1810.00597

The Deep Learning and RL Summer School videos are up! videolectures.net/DLRLsummerscho…

Our #cogsci2018 paper on compression of episodic memories is available at arxiv.org/abs/1806.07990, corresponding poster will be #154 on friday (27th)

We organised a workshop at DALI 2018 on Goals and Principles of Representation Learning a few weeks ago. Videos here; including talks from @fhuszar @irinavlh @MatthiasBethge @jaschasd youtube.com/playlist?list=…