Anca Ciubotaru @anciubotaru

ML at Sony Switzerland Joined July 2015

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Anca Ciubotaru @anciubotaru

6 years ago

Great essay of Isaac Asimov on creativity: technologyreview.com/s/531911/isaac…

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I started a reading club in IBM Research Zurich at the beginning of this summer and I was quite surprised to see that more and more people are joining. This month we read Factfulness by Anna Rosling Rönnlund, Hans Rosling, and Ola Rosling. The book received a positive feedback.

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Anca Ciubotaru @anciubotaru

6 years ago

Great article on how to plan to write a paper: medium.com/@deviparikh/pl…

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David Rolnick @david_rolnick

6 years ago

Want to help solve #ClimateChange? Here’s what #MachineLearning can do. Detailed recommendations for researchers, entrepreneurs, and public/private stakeholders. #ClimateChangeAI Full paper: arxiv.org/abs/1906.05433

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Anca Ciubotaru @anciubotaru

6 years ago

Great talk of Shalini de Mello on Few shot adaptive gaze estimation @IEEEFG2019 arxiv.org/abs/1905.01941

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Anca Ciubotaru @anciubotaru

6 years ago

I’m attending the FG2019 conference in Lille, France. I started with a workshop on Face Analysis for Advanced Driver Assistance Systems @IEEEFG2019

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Anca Ciubotaru @anciubotaru

6 years ago

Interesting work of @medialab on personalised estimation of children engagement from videos using active learning and deep reinforcement learning: media.mit.edu/publications/p…

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An-phi Nguyen @phineas_zu

6 years ago

@chrsmrrs et al. told us GNNs are great in representing undirected graphs. What about directed labeled graphs? Come check out our paper at the RLGM workshop @iclr2019! Paper: arxiv.org/abs/1904.08745 Code: github.com/guillaumejaume… … @GuillaumeJaume @MariaRoCompBio @IBMResearch

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Anca Ciubotaru @anciubotaru

7 years ago

Attending @NipsConference talk on AI for Good

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Marianna Rapsomaniki @marianna_raps

7 years ago

Can #deeplearning help us predict how our genome folds inside the nucleus? Our method, REACH-3D, predicts 3D chromatin structure from #HiC data. Read the manuscript, accepted in the MLMM workshop of #NeurIPS2018: arxiv.org/abs/1811.09619 @BCCristescu @MariaRoCompBio @IBMResearch

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Matteo Manica @drugilsberg

7 years ago

PaccMann, our work on anti-cancer compound sensitivity prediction using attention-based networks has been accepted in the ML for Molecules and Materials workshop in Neural Information Processing Systems Check it out: arxiv.org/abs/1811.06802 @IBMResearch @PrECISE_H2020 #NeurIPS

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Hazım Kemal EKENEL @ekenel

7 years ago

Our paper (joint work with IBM Research Zürich), titled "Image-Level Attentional Context Modeling Using Nested Graph Neural Networks", has been accepted at NIPS'18 workshop on the Relational Representation Learning. Paper link: lnkd.in/gtDVe4b @itunovatto @ITU_BBF

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Anca Ciubotaru @anciubotaru

7 years ago

Attending the Life sciences and health care event @IBMResearch

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Alessandro Curioni @Ale_Curioni

7 years ago

Hosting our 2018 Think discovery wks for Life Sciences and healthcare at ZRL - impressive presentations by Thomas Grunwald and Natalie Gunn epileptic seizures and challenges associated for early automatic predictions. @IBMResearch

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Marianna Rapsomaniki @marianna_raps

7 years ago

Congrats @mynameiselina and Maria!

IBM Research @IBMResearch

7 years ago

Congrats @mynameiselina and Maria!

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Fei-Fei Li @drfeifei

7 years ago

This is so super creative and awesome ;) Understanding relationships among objects (& people) in visual scene is one of the next frontiers of computer vision technology. @VisualGenome and our work below are small steps toward this goal.