Jakub_Vrabel Profile
Jakub_Vrabel

@VrabelJakub

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181
Following
676
Statuses
93

machine learning - physics

Joined July 2018
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@VrabelJakub
Jakub_Vrabel
5 months
1/12 Excited to share our new paper Input Space Mode Connectivity in Deep Neural Networks. ๐Ÿ“œ๐Ÿงต Did you know that high-dimensional input spaces in classification vision models contain simple paths between distinct (low-loss) images of the same class?
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@VrabelJakub
Jakub_Vrabel
7 days
RT @Vedazije: Stล™et s realitou ฤeskรฉ vฤ›dy
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@VrabelJakub
Jakub_Vrabel
10 days
RT @lirarandall: Am I the only one who sees a certain irony in Sam Altman complaining anout an AI company using their data?
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@VrabelJakub
Jakub_Vrabel
17 days
Accepted to ICLR -- see you in Singapore! ๐Ÿฅณ
@VrabelJakub
Jakub_Vrabel
5 months
1/12 Excited to share our new paper Input Space Mode Connectivity in Deep Neural Networks. ๐Ÿ“œ๐Ÿงต Did you know that high-dimensional input spaces in classification vision models contain simple paths between distinct (low-loss) images of the same class?
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@VrabelJakub
Jakub_Vrabel
2 months
At #NeurIPS?โฃ Come to the ๐’๐œ๐ข๐Ÿ’๐ƒ๐‹ ๐ฐ๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ this Sunday at ๐Ÿ•š 11:05 AM to catch our ๐จ๐ซ๐š๐ฅ presentation on ๐ˆ๐ง๐ฉ๐ฎ๐ญ ๐’๐ฉ๐š๐œ๐ž ๐Œ๐จ๐๐ž ๐‚๐จ๐ง๐ง๐ž๐œ๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ. I canโ€™t make it this time, but Iโ€™m pretty sure @DavidSKrueger will deliver an exciting talk!
@VrabelJakub
Jakub_Vrabel
5 months
1/12 Excited to share our new paper Input Space Mode Connectivity in Deep Neural Networks. ๐Ÿ“œ๐Ÿงต Did you know that high-dimensional input spaces in classification vision models contain simple paths between distinct (low-loss) images of the same class?
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@VrabelJakub
Jakub_Vrabel
2 months
@obradam @bijbolsevika Je toto tvrdenie niecim podlozene? Pride mi to dost nepravdepodobne, kedze ipRGCs su aktivovane modrym svetlom a ziadna intenzita cerveneho svetla ich efektivne nevybudi. To je kvantova mechanika 101.
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@VrabelJakub
Jakub_Vrabel
3 months
RT @EkdeepL: Paper alertโ€”accepted as a NeurIPS *Spotlight*!๐Ÿงต๐Ÿ‘‡ We build on our past work relating emergence to task compositionality and anโ€ฆ
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@VrabelJakub
Jakub_Vrabel
4 months
@plain_simon @norabelrose Shouldnโ€™t be even more pronounced then? The whole thing of lazy training says so. Not that surprising tbh, itโ€™s just collective behaviorโ€ฆ
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@VrabelJakub
Jakub_Vrabel
4 months
RT @MBarkeshli: John Hopfield has a nice article in the annual reviews of condensed matter physics. It starts off with a discussion of whatโ€ฆ
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@VrabelJakub
Jakub_Vrabel
4 months
@lawrennd @ylecun This was bound to happen though! You sealed the deal a long time before by reading Parisi's field theory๐Ÿ˜€
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@VrabelJakub
Jakub_Vrabel
4 months
RT @SuryaGanguli: Congrats to John Hopfield and @geoffreyhinton! well deserved recognition that some important foundations of AI rest on phโ€ฆ
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@VrabelJakub
Jakub_Vrabel
4 months
@sams_jain @orishemur @DavidSKrueger Thank you! The paper you mention is indeed interesting and relevant, though it shows a different type of connectivity. We learned about it only after completing our work but addressed it in the Related Work section.
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@VrabelJakub
Jakub_Vrabel
5 months
@SamuelAinsworth Itโ€™s an intra-class connectivity, so the class is the same as A and C.
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@VrabelJakub
Jakub_Vrabel
5 months
@eric_nalisnick @DavidSKrueger Not directly, we do intra-class interpolations, while Mixup does inter-class. But we've had the same question and are working on a follow-up that's more relevant to the Mixup. Hope to have better answers soon!
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@VrabelJakub
Jakub_Vrabel
5 months
12/12 Overall, input space mode connectivity is a rich topic, raising intriguing questions and opening new directions. I truly enjoyed working on this interdisciplinary project with my amazing coauthors, @orishemur, Yaron Oz, and @DavidSKrueger. paper:
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