Michaël Defferrard

@m_deff

Scientist. ML and (computational) graphs at @Qualcomm AI Research. Previously @EPFL_en (PhD with @trekkinglemon), @BerkeleyLab.

🇨🇭 Switzerland

deff.ch

Joined May 2015

927 Following

1,495 Followers

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Michaël Defferrard
@m_deff
Sep 1, 2025
Caring for your home is a lesson in the 2nd law: Cease working against entropy and nature decays it into a forest.
Michaël Defferrard
@m_deff
Nov 18, 2022
The supremacy of search as a paradigm—and the associated attention-selling business—is coming to an end. Virtual assistants will disrupt search like search disrupted web portals.
Michaël Defferrard
@m_deff
Dec 15, 2021
The essential nature of convolutions to space is the backbone of the thesis I'll defend today. My contribution: generalized convolutions. They enable parameter sharing for non-transitive and unknown symmetry groups to efficiently learn on arbitrary domains. Looking forward!
EPFL and Pierre Vandergheynst
Michaël Defferrard
@m_deff
Dec 1, 2021
Took me years; not done either. Convolutions are essential to space: They are the linear operators that commute with symmetries (equivariance). Not only a tool that works™. They are basic: built on a space's topology (incidence structure) and geometry (inner product). No more.
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Michaël Defferrard
@m_deff
Dec 1, 2021
Took me years; not done either. Convolutions are essential to space: They are the linear operators that commute with symmetries (equivariance). Not only a tool that works™. They are basic: built on a space's topology (incidence structure) and geometry (inner product). No more.
François Fleuret
@francoisfleuret
Nov 30, 2021
It is amazing how long it took me to grasp the versatility and richness of basic convolutions. And I am probably not done.
Michaël Defferrard
@m_deff
Nov 24, 2021
Yet another impactful achievement of graph ML! 🎉
Mathias Niepert
@Mniepert
Nov 24, 2021
Positive phase 1 trial of cancer vaccine developed with graph-based ML. NEC's neoantigen prediction system using AI methods, such as graph-based relational learning, trained on multiple sources of biological data to discover candidate neoantigen targets. nec.com/en/press/20211…
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