David Nagy

[David Nagy @dvgnagy]

Full text accessible here: https://t.co/o9x2fntJO3

[David Nagy @dvgnagy]

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?

[Charley Wu (@thecharleywu.bsky.social) @TheCharleyWu]

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 https://t.co/PMc74JD606 members / collabs. See you there! @CogCompNeuro

[David Nagy @dvgnagy]

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

[Blake Richards @tyrell_turing]

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!

[Blake Richards @tyrell_turing]

From #PLOSCompBio: Optimal forgetting: Semantic compression of episodic memories

Very relevant to the last #LearningSalon!

https://t.co/WpTFKERety

[CogCompNeuro @CogCompNeuro]

Check out & open review the @CogCompNeuro #CCNGAC proposal “What makes representations “useful”?” by @TBBake @wrongu @KriegeskorteLab @xaqlab, Alessandro Achille, Rosa Cao & Odelia Schwartz
https://t.co/4btPDl72QL

[EEML @EEMLcommunity]

Deadline extended to *April 15* due to popular demand! List of speakers almost complete! Check out our website https://t.co/izYg0romPE and submit your application ASAP!

[EEML @EEMLcommunity]

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

[David Nagy @dvgnagy]

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

[bioRxiv Neuroscience @biorxiv_neursci]

Optimal forgetting: Semantic compression of episodic memories https://t.co/UZxe88sriz #biorxiv_neursci

[Kording Lab 🦖 @KordingLab]

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: https://t.co/MFxA1hRNzH

[Robert Lange @RobertTLange]

#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!
https://t.co/pwEO9D2pn3

[CoenCagli_Lab @CoenCagli_Lab]

Excellent new work by the Orban lab on stimulus-dependent noise correlations https://t.co/hUSbv3PzXt

[Marco Fraccaro @fraccarom]

"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
https://t.co/Q7bM7OQbcr

[Dustin Tran @dustinvtran]

Talks for the Probabilistic Programming conference #PROBPROG2018 are now available! https://t.co/ZPFA3pp10b Includes, e.g., Zoubin Ghahramani @djsyclik Dave Blei @roydanroy @tom_rainforth @migorinova Stuart Russell, Josh Tenenbaum, and many others. https://t.co/LjU0aJVj8d

[Danilo J. Rezende @DaniloJRezende]

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
https://t.co/wgDV7mK92X

[Roger Grosse @RogerGrosse]

The Deep Learning and RL Summer School videos are up!

https://t.co/pZJV1k5foY

[David Nagy @dvgnagy]

Our #cogsci2018 paper on compression of episodic memories is available at https://t.co/cA8EsOSmKn, corresponding poster will be #154 on friday (27th)

[Shakir Mohamed @shakir_za]

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 https://t.co/v0Fq4r0qMw

[TensorFlow @TensorFlow]

Introducing TensorFlow Probability: empowering ML researchers and practitioners to build sophisticated models quickly, leveraging state-of-the-art hardware

Read about it on the TensorFlow blog ↓

https://t.co/w6TKrZlxO7