Fabio Valerio Massoli

Researcher at Qualcomm AI Research Netherlands

[Tim Bakker🔸 (in London 3-9 Oct) @timbbakker]

🚨With my PhD coming to an end, it's time for a life update! I've recently joined @Qualcomm AI Research as a Senior Machine Learning Researcher. Looking forward to working with this great team!🧠✨

[Jens Petersen @peterjensen_]

Join @noor_fathima_ and myself this afternoon at #CVPR2024 to learn more about Clockwork Diffusion :) Highlight poster #345, from 5pm in Arch 4A-E

[Mo Tiwari @mo_tiwari]

Thrilled that a paper from my PhD, "Faster Maximum Inner Product Search in High Dimensions" has been accepted to ICML 2024!

In the paper, we accelerate state-of-the-art for the Maximum Inner Product Search (MIPS) problem. MIPS is a core subroutine in systems like recommendation engines, multi-class prediction, matching pursuit, retrieval, and more. We improve the state-of-the-art by using techniques from multi-armed bandits.

Paper: https://t.co/Agp9HgBoxP

Let me know if you'll be in Vienna for ICML!

Congratulations to my coauthors Ryan Kang, Donghyun (Luke) Lee, Jeyong Lee, @chrispiech, @SebastianThrun, @ilanshom, and @martinjzhang!

[Johann Brehmer @johannbrehmer]

Here's one for the physicists: we built a transformer that's equivariant to the Lorentz symmetry of special relativity.

Super fun project led by @jonas_spinner and @victorbreso, plus @pimdehaan, Tilman Plehn, @jessethaler.

https://t.co/vpDRrGmMLz

[Johann Brehmer @johannbrehmer]

Are you dealing with geometric data, be it from molecules or robots? Would you like inductive biases *and* scalability?

Our Geometric Algebra Transformer (GATr 🐊) may be for you.

New work w/ @pimdehaan, Sönke Behrends, and @TacoCohen:
https://t.co/Rvsj1gsKxZ

1/9

[Causal view on Dynamic Systems Workshop @NeurIPS22 @causal_on]

Our NeurIPS workshop "A causal view on dynamical systems" is coming closer! 🔥🔥

We are excited to receive contributions until Sept. 22 AoE (⚠️10 days left!!)

🔄 Check out our website: https://t.co/hlzSQPSHdA

Hope to see you in New Orleans or virtually on Dec. 3rd!

[Max Welling @wellingmax]

“Heating or Eating” is the new slogan for the coming winter. The war in Ukraine will be felt in many homes across Europe. And every month the divide between Europe and Russia grows bigger. Sad. https://t.co/ymcfUQAVZA

[Hannes Stark @HannesStaerk]

Join us in 15 min!

[TAGinDS @TAGinDS]

Poster session at the #tagml workshop at #ICML2022 is going on now. Come swing by and chat with some amazing researchers. Room 318-320.

[TAGinDS @TAGinDS]

What an amazing last 3 days at @icmlconf! So much amazing research done by so many talented researchers! Looking forward to the workshop portion and the terrific lineup at the @TAGinDS Topology, Algebra, and Geometry in Machine Learning workshop tomorrow! #ICML2022

[Fabio Valerio Massoli @fvmassoli]

Finally, our survey

A Leap among Quantum Computing and Quantum Neural Networks: A Survey

https://t.co/KN0Rt1s5Ob

has been published!!!
Enjoy a (quantum) leap among models and theories 🤣🍻🥂

#QuantumComputing #QuantumNeuralNetworks #QuantumMachineLearning #QNN #QML

[Anonymous @YourAnonNews]

͏

[Prof. Feynman @ProfFeynman]

Meanwhile, inside the box, Schrödinger's cat plans its revenge.

[Hannes Stark @HannesStaerk]

Our new paper is out!🧬
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction https://t.co/kf0DaYksgA

Fast 3D structure predictions in which molecules bind to proteins!

With the lovely team @octavianEganea @lucky_pattanaik @BarzilayRegina Tommi Jaakkola 🤗
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[Fabio Valerio Massoli @fvmassoli]

"A Leap among Quantum Computing and Quantum Neural Networks: A Survey" is now available on arxiv
https://t.co/U8PwQSG2Vf
In the survey we analyze state-of-the-art QNN models, discuss about training issues on NISQ devices, report about qubit technologies, ... and much more :)

[Fabio Valerio Massoli @fvmassoli]

Don't forget to check the repo
https://t.co/N2Ubb9iais
Lots of QNNs papers already collected

[Fabio Valerio Massoli @fvmassoli]

"A Leap among Quantum Computing and Quantum Neural Networks: A Survey" is now available on arxiv
https://t.co/U8PwQSG2Vf
In the survey we analyze state-of-the-art QNN models, discuss about training issues on NISQ devices, report about qubit technologies, ... and much more :)