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Tag Archives: conference
Best student paper award by Joao Ramos in ECML/PKDD 2021
It is our pleasure to announce that Joao Ramos received the best student data mining paper award in ECML/PKDD 2021 for the work he did in modelling pathological gait to eventually support treatment planning. Joao's work takes place in the … Continue reading
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Tagged Alexandros Kalousis, award, best paper award, conference, ECML/PKDD conference, graph network, Joao, Lionel Blonde, paper, SimGait, snsf, VAE
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Kanerva++ at ICLR21
The ICLR21 conference is still a few weeks away but to wet your appetite already, we are glad to let you know that Jason Ramapuram will be presenting there his new paper Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. The paper is a result of a successful collaboration with Yan Wu from Deepmind.
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Tagged conference, ICLR, Jason, Jason Ramapuram, Kanerva++, paper
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Jason to present DAB
A couple of months ago Jason Ramapuram interned in Apple Machine Learning Research. Among other things, he worked with Russ Webb on a novel method allowing for the use of simple non-differentiable functions at intermediary layers of deep neural networks. … Continue reading
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Tagged collaboration, conference, deep leaning, Jason, Jason Ramapuram, paper, presentation
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Frantzeska at Swiss Machine Learning Day on 13Nov2019
In addition to being a busy mother of a 2 year old, in her research, Frantzseska Lavda has been investigating how to improve the generative properties of variational autoencoders. She will present her ideas in a poster session of the … Continue reading
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Tagged conference, Frantzeska, Frantzeska Lavda, VAE
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Paper about LoRaWAN localization presented in WPNC
Our paper "A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN" was presented by Grigorios Anagnostopoulos, in the 16th IEEE Workshop on Positioning, Navigation and Communications (WPNC 2019), in Bremen, Germany. The scope of the WPNC contributions this year ranged from IoT and 5G positioning, to autonomous car localisation using LiDAR descriptors. The strive for more transparent and reproducible research in the field, which Greg promotes in his paper, was well appreciated by the community.
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Tagged conference, Greg, Grigorios G. Anagostopoulos, localization, positioning, WPNC
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Paper presentation in IPIN 2019
Grigorios Anagnostopoulos presented the paper "A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning" in the 10th edition of the Indoor Positioning and Indoor Navigation (IPIN) conference. Attending this conference offered a great opportunity … Continue reading
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Tagged conference, Greg, Grigorios G. Anagostopoulos, IPIN, localization, positioning
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Variational saccading
Ever tried to train a deep neural network over high resolution images taken by modern smartphone cameras or smart devices? The memory and inferential costs when working with inputs of such large dimensions (e.g. 4000x3000) increase rapidly and often prohibitively. Jason Ramapuram proposes a solution in his new paper "Variational Saccading: Efficient Inference for Large Resolution Images". He will present his idea at the BMVC conference in September this year but you don't have to wait, check out the preprint!
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Tagged BMVC conference, conference, Jason, Jason Ramapuram, paper, Variational saccading
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Lionel Blonde in AISTATS
AISTATS 2019 is well under way and Lionel Blonde is there to present his work on Sample-Efficient Imitation Learning via Generative Adversarial Nets. You can check his poster Th79 at the poster session tomorrow (Thursday, April 18, 13h30-16h30). He will be happy to explain how he improves upon GAIL by reducing the sample complexity by orders of magnitude. Go and speak to him!
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Tagged AISTATS, conference, GAIL, Lionel, Lionel Blonde
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