Aaron Molt

6 posts

Aaron Molt

Aaron Molt

@AaronMolt

Ulm, Germany Katılım Haziran 2019
26 Takip Edilen9 Takipçiler
Aaron Molt retweetledi
Tobias Heß
Tobias Heß@h3ssto·
In his second talk in the same (!) session, @AaronMolt presents our novel metric for comparing 2-wise samples: #pickme - this work is based on his Bachelor's thesis. By the way, Aaron will be looking for a PhD position in 2026, so talk to him! #SPLC25
Tobias Heß tweet media
Tobias Heß@h3ssto

Our work "Pick Me: Judging Sample Quality with Binary Decision Diagrams" has been accepted into @splcconf'25 🎉. This work is based on the Bachelor's Thesis of my amazing student @AaronMolt (who will be looking for a PhD position soon 😉). Details and preprint below ⬇️ #SPLC25

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Aaron Molt retweetledi
Tobias Heß
Tobias Heß@h3ssto·
First talk of @AaronMolt at #SPLC25! Aaron is presenting our work towards enabling efficient deterministic BDD compilation - this time around through eliminating atomic sets during preprocessing.
Tobias Heß tweet media
Tobias Heß@h3ssto

Aaand the extended version got accepted into #SPLC25 🎉 Title "Improving Deterministic BDD Compilation with Counting-Free Computation of Atomic Sets" Joint work with @AaronMolt who will also present it at the conference. Abstract ⤵️

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Aaron Molt retweetledi
Tobias Heß
Tobias Heß@h3ssto·
Aaand the extended version got accepted into #SPLC25 🎉 Title "Improving Deterministic BDD Compilation with Counting-Free Computation of Atomic Sets" Joint work with @AaronMolt who will also present it at the conference. Abstract ⤵️
Tobias Heß tweet media
Tobias Heß@h3ssto

It has been more than 20 years since @sergio_segura2 proposed to exploit atomic sets for preprocessing feature models. Over the holidays, we came up with "A Fast Counting-Free Algorithm for Computing Atomic Sets in Feature Models" Paper: arxiv.org/abs/2501.12490 w/ @Aargon06

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Aaron Molt retweetledi
Tobias Heß
Tobias Heß@h3ssto·
Our work "Pick Me: Judging Sample Quality with Binary Decision Diagrams" has been accepted into @splcconf'25 🎉. This work is based on the Bachelor's Thesis of my amazing student @AaronMolt (who will be looking for a PhD position soon 😉). Details and preprint below ⬇️ #SPLC25
Tobias Heß tweet media
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Aaron Molt retweetledi
Tobias Heß
Tobias Heß@h3ssto·
It has been more than 20 years since @sergio_segura2 proposed to exploit atomic sets for preprocessing feature models. Over the holidays, we came up with "A Fast Counting-Free Algorithm for Computing Atomic Sets in Feature Models" Paper: arxiv.org/abs/2501.12490 w/ @Aargon06
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