Андрей Смоляков откопает топор войны ради битвы с яп...

https://cpanel.altapress.ru/khz/story/andrey-smolyakov-otkopaet-topor-voyni-radi-bitvi-s-yapontsami-363994

Result Details

Samo da nije ove farbe na bitvi!

Андрей Смоляков откопает топор войны ради битвы с яп...

https://altapress.ru/khz/story/andrey-smolyakov-otkopaet-topor-voyni-radi-bitvi-s-yapontsami-363994

Result Details

Cool work done by @sladeka.bsky.social and together with @arnosolin.bsky.social!

Unfortunately, @sladeka.bsky.social has fallen ill and cannot attend @auai.org in person. Please join the virtual poster session at: www.auai.org/uai2025/gath... if you are interested in hearing more about #BitVI.

Moreover, #BitVI can help identify the numerical precision required to represent a target density, a crucial task in the quantisation of neural networks and when working with low-precision regimes.

Remember that computers use bitstrings to represent numbers? We exploit this in our recent @auai.org paper and introduce #BitVI.

#BitVI directly learns an approximation in the space of bitstring representations, thus, capturing complex distributions under varying numerical precision regimes.

I don’t know flowVI (do you mean a flow as variational family?) but eigenVI uses a different objective than classical VI. BitVI is in some vague sense related to eigenVI as both allow you to concisely express how flexible your approximation should be, but they are conceptually different.

We introduce BitVI, a novel approach for variational inference with discrete bitstring representations of continuous parameters. We use a deterministic probabilistic circuit structure to model the distribution over bitstrings, allowing for exact and efficient probabilistic inference. [2/3]

«Проклятие дома». Погибла звезда «Битвы экстрасенсо...

https://cpanel.altapress.ru/story/proklyatie-doma-pogibla-zvezda-bitvi-ekstrasensov-yuliya-korneeva-361707

#Шоу-бизнес

Event Attributes

📎 Paper: openreview.net/pdf?id=nbsaJ...
🧑‍💻 Code (wip): github.com/AaltoML/bitvi

In #BitVI, we exploit the fixed-point representations of numbers and a tractable variational approximation based on #circuits. Thus, enabling efficient ELBO computation and control of the numerical precision. Additionally, BitVI is easily extendable to other number systems, such as floating-point.