New paper at IEEE TPAMI on enhancing inference in deep generative models. Collaboration with the Echeveste lab:
doi: 10.1109/TPAMI.2026.3718675
Looking forward to join efforts with the amazing team at the new excellence grant of MTA, the National Neuroscience Program 4.0.
read moreKeith’s and Balázs’s ICLR 2026 paper, a collaborative work with the Polack lab (Rutgers) accepted.
read moreNeuroAI paper in Nature Communications on developing deep generative models to predict the structure of top-down inforamtion flow in the visual cortex. Study spearheaded by Feri Csikor:
https://doi.org/10.1038/s41467-025-64967-x
read moreNew preprint with Procyk lab (INSERM, Lyon): in the neuronal arithmetics of navigating options, spearheaded by Zsombi Ungvarszki: bit.ly/4gKfm7K
read moreThanks for András Tóth for covering our Nat Rev Psych story on qubit.hu, the premier Hungarian popular science magazine: bit.ly/46ETZBI
read moreReview paper on a normative take on memory dynamics in Nature Reviews Psychology in a fun collaboration with David Nagy and Charley Wu (Tübingen)
read moreNew arXiv paper on generalizing Variational Autoencoders with amazing collaborators Jose Catoni, Rodrigo Echeveste (et al) >> DOI 10.48550/arXiv.2404.15390
read moreNew review paper on a formal framework on memory, compression, learning, and generative models, with Dávid Nagy and Charlie Wu (Tübingen)
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