Viet Anh Khoa Tran

@ktran.de

PhD student in NeuroAI with Willem Wybo (@ww-dlg.bsky.social), at Emre Neftci's lab (@fz-juelich.de). ktran.de

At #NeurIPS in San Diego and interested in #NeuroAI? Today in the🕐11am-2pm session, I will present our work on brain-inspired continual learning via TMCL (📍Poster 2206), with Emre Neftci and @dlg-ai.bsky.social. Say hi or DM me if you want to chat about continual, local or modular learning!

Viet Anh Khoa Tran@ktran.de · last yr.

New #NeuroAI preprint on #ContinualLearning! Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple'). We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)

Our preprint has been accepted at #NeurIPS2025! 🎉 I will be presenting TMCL in just two weeks at the #BernsteinConference. Hope to see some of you there! @bernsteinneuro.bsky.social Many thanks to my advisor Willem Wybo, and to Emre Neftci for the great support.

Viet Anh Khoa Tran@ktran.de · last yr.

New #NeuroAI preprint on #ContinualLearning! Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple'). We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)

New #NeuroAI preprint on #ContinualLearning! Continual learning methods struggle in mostly unsupervised environments with sparse labels (e.g. parents telling their child the object is an 'apple'). We propose that in the cortex, predictive coding of high-level top-down modulations solves this! (1/6)

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