Vaibhav Agrawal

[Tejas Kulkarni @tejasdkulkarni]

@TacoCohen good old lua torch and backdrop by ~hand days.

[Vaibhav Agrawal @ai_frojack]

@TheMartinsLab Congratulations Andre!

[Patrick Schwab @schwabpa]

Can we detect type2 diabetes from full-body magnetic resonance imaging (MRI)?

We used deep learning & data from 2400 MRIs to identify patients with (pre-)diabetes, incl. subgroups with high future diabetes risk.

@diabresearch @uni_tue @MPI_IS @wagrob32

https://t.co/qgKEbn5Uli

[Radiology: Artificial Intelligence @Radiology_AI]

#Radiomics risk scores were used to predict progression-free survival in patients with #glioblastoma https://t.co/LGOaBw64r4 @Ruchika__Verma @Pallavi_Tiwari @CWRUBME #BrainTumor #ML #MachineLearning

[Frank Nielsen @FrnkNlsn]

Statistical distances between densities of an exponential family often admit closed-form formula (Sharma-Mittal/Renyi/Tsallis/Shannon relative entropies/divergences). Optimal transport distances vs information-geometric divergences. Projective divergences https://t.co/tiT4eCaguE

[Curt Langlotz @curtlanglotz]

Hot off the press: We have developed a self-supervised learning method that is much better for pre-training than ImageNet--reduces labeling needs by an order of magnitude for medical imaging applications:

@stanfordAIMI @Radiology_AI

[Frank Nielsen @FrnkNlsn]

Some recently proposed distances with their rationales

[sim2real @sim2realAIorg]

Causalworld:A Robotic Manipulation Benchmark For Causal Structure And Transfer Learning

https://t.co/3NbXFuXjY6

https://t.co/kCS41Pqtm3

[Sam Budd @sambuddinc]

Excited to share our recent work on predicting cortical metrics across a range of brain development stages and pathologies from MRI using #MachineLearning #DeepLearning #AI. Presented at @MLCNworkshop @MICCAI2020 #MLCN2020 #MICCAI2020 https://t.co/FkodYPGhRf

[Ask AI @askaiorg]

HEALTHCARE: By accessing the rich data from the Canadian #healthcare system, Pineau believes we can predict outcomes such as the likelihood of a disease recurring. Full story via @CIFAR_News: https://t.co/ozbfuUyG86

#Canada #artificalintelligence

[MathWorks AI @MathWorksAI]

Even animals can receive virtual health care with the help of #computervision! https://t.co/hAOZTrlU0B

[Cyber Valley @Cyber_Valley]

Our friends @ml4science are hosting a virtual workshop on the philosophy of #MedicalAI this week. Check out the event schedule here: https://t.co/RwayE31H83 #CyberValley #AI #MachineLearning @uni_tue

[Yann Dubois @yanndubs]

New paper: we characterize optimal representations for supervised learning, and show how to ~learn them! Our framework gives 1) a regularizer and 2) a predictor of generalization in DL.

https://t.co/yUpx1sCXBz (NeurIPS spotlight)
with @douwekiela @davidjschwab @Rama_vedantam
1/7

[Intelligent Systems @MPI_IS]

A first-time cooperation between @metin_sitti and his team and @mpifkf resulted in a @PNASNews publication showing a solar-battery effect that enables a new light-driven organic #microswimmer to operate in the dark. Find out more: https://t.co/XhivpWwV0w

[Google AI @GoogleAI]

RigL is a new algorithm for training sparse neural networks. Instead of pruning a pre-existing dense network, it dynamically builds one during training without sacrificing accuracy relative to traditional approaches. Learn how it’s done at https://t.co/VZa1Ve9uH1

[Frank Nielsen @FrnkNlsn]

Natural gradient uses *steepest descent* but may leave the manifold. Riemannian gradient always stay on the manifold (but exponential map difficult to calculate).
Natural gradient= approximation of the Riemannian gradient using a simple rectraction.
https://t.co/KrtASispAK

[Manuel Wüthrich @manuelwuethrich]

1/4) We are pleased to announce TriFinger: an open-source robot for learning dexterity

https://t.co/APQUjcjfQI

[sim2real @sim2realAIorg]

TriFinger: An Open-Source Robot for Learning Dexterity

https://t.co/PXLkKkbU9e

[Real Robot Challenge @robo_challenge]

We are pleased to announce the start of the real robot challenge! Participate in the simulation phase now and qualify for hundreds of real-robot hours! Get started here: https://t.co/F4ok2xRKcl

[Intelligent Systems @MPI_IS]

🤖Calling all #deeplearning / #machinelearning / #reinforcementlearning or #AI scientists - no matter where in the world - to take part in a challenge that aims to advance the state of the art in #robotic manipulation: https://t.co/kTMmtWLIx8 @robo_challenge #RoboChallenge🤖