Top Tweets for #MLSP2020
Recommendation to watch: @avehtari‘s tutorial about probabilistic programming framework Stan available at https://t.co/JbucFog6yP #MLSP2020 @mcmc_stan
Congrats to @AlexanderTong7 on winning a best student paper award at #MLSP2020! Awesome work on anomaly detection using a discriminator! https://t.co/YqLTc5bAxz
The #MLSP2020 Best Student Paper Award winners are now on the conference web site https://t.co/gNKhFuYl73. Congratulations to the winners!

The #MLSP2020 Best Student Paper Award winners are now on the conference web site https://t.co/gNKhFuYl73. Congratulations to the winners!

Razvan Pascanu (keynote at #MLSP2020) on sparsified neural nets: "I'm fairly convinced that model size is needed mostly to make learning easy and not a requirement to encode the solution to the problem." He references the "lottery ticket hypothesis" https://t.co/hRV7F4ycXd
Paul @edchangy will be presenting "Fast variational learning in state-space Gaussian process models" at #MLSP2020 today. Joint work with @wil_j_wil and @EmtiyazKhan.
Paper: https://t.co/ELDvIMeKE1
Video: https://t.co/xARLWuIKEb
Code: https://t.co/4QTVrSjmZF
Today at 4.15 p.m. CEST, OpenDR researcher Maria Tzelepi will be presenting the paper "Quadratic mutual information regularization in real-time deep CNN models" at #MLSP2020 !
This week, the 30th Intl Workshop on Machine Learning for Signal Processing #MLSP2020 takes place at the @AaltoUniversity campus in #Espoo with a fully virtual 4-day programme: keynotes, tutorials & matchmaking events.
@IEEEsps @visitespoo #meetespoo
https://t.co/Csn6kGuzGB

Presenting AutoClip at #MLSP2020 this week, in this session: https://t.co/r7zQQlOEr5!
Our lecture video for AutoClip can also be viewed here: https://t.co/iRvxtQ8A3p.
Or in the MLSP virtual platform: https://t.co/FAb0bV189S.
Introducing AutoClip: a "set-and-forget" method for gradient clipping. Track grad norms, find the pth percentile, and that's your clipping value. #MLSP2020
Paper: https://t.co/QOv9M3CM1g
Code: https://t.co/Fm2kppd95u
w/ Gordon Wichern, Bryan Pardo, and @JonathanLeRoux
1/3
First day of #MLSP2020 with first lecture session streaming over Zoom. My home studio is all set. Looking forward to many presentations: https://t.co/1EsNbFKElO


Nice keynote this morning by Michael Unser (EPFL Lausanne) on the connections between splines and DNNs with ReLU activations (via Banach duality) - great start to #MLSP2020 (always one of my favourite events) @IEEEsps #MachineLearning #SignalProcessing
Upcoming presentations by #OpenDR researchers next week at #MMSP2020 and #MLSP2020 !
✔Don't forget to visit our website: https://t.co/zL7jmP7uI8
#machinelearning #ai #artificialintelligence #deeplearning #futuretechnology #researchers #new #europe #robotics #toolkit #robots

Deadline soon!
@EidFonte & @REALNET_EID may have just finished our own #MachineLearning symposium, but there is never too much of a good thing. Register for #MLSP2020 for FREE by 13 Sept
Next up: @EidFonte workshop on Bayesian Filtering in Oct.
#FONTETraining #MSCA @simosarkka
IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 takes place online Sep 21–24. Registration is **free of charge** and closes Sep 13. Full program and registration: https://t.co/xSmPiKRWcm

IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 takes place online Sep 21–24. Registration is **free of charge** and closes Sep 13. Full program and registration: https://t.co/xSmPiKRWcm

Introducing AutoClip: a "set-and-forget" method for gradient clipping. Track grad norms, find the pth percentile, and that's your clipping value. #MLSP2020
Paper: https://t.co/QOv9M3CM1g
Code: https://t.co/Fm2kppd95u
w/ Gordon Wichern, Bryan Pardo, and @JonathanLeRoux
1/3
Wow!! #MLSP2020 notifications are out and we got an acceptance in our workshop paper “Multinomial Sampling for Hierarchical Change-Point Detection”.

Call for papers: The 30th IEEE International Workshop on Machine Learning for Signal Processing #MLSP2020 (https://t.co/xSmPiKRWcm). Authors are invited to submit papers on relevant algorithms and applications: https://t.co/M0Egi0heRO (submission DL May 3)

#MLSP2020 goes to Finland in September and is now accepting papers on algorithms and applications covering a broad range of machine learning topics. Visit the MLSP 2020 website for more information and submit your paper by 19 April 2020! https://t.co/hyhOA9LT6w
Interested in joining this year's IEEE Machine Learning for Signal Processing #MLSP2020 @AaltoUniversity? How about organising a special session on an emerging or interdisciplinary research area of particular interest: https://t.co/i6dDgud6Em
IEEE flagship conference on machine learning for signal processing, MLSP 2020, is organized at @AaltoUniversity, Finland this September. The updated web pages are now online: https://t.co/wptqeFUKJM
#MLSP2020 @IEEEsps
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