Thomas Bury

74 posts

Thomas Bury

Thomas Bury

@ThomasMBury

Doing maths in cardiac electrophysiology, climate science and ecology. Postdoc. McGill Uni.

Montréal, Québec Katılım Eylül 2015
460 Takip Edilen168 Takipçiler
Sabitlenmiş Tweet
Thomas Bury
Thomas Bury@ThomasMBury·
Combining #AI and dynamical systems theory improves tipping point detection. Check out our new publication in PNAS: “Deep learning for early warning signals of tipping points”. pnas.org/content/118/39… Summary thread below:
English
1
9
24
0
Thomas Bury retweetledi
Mehrshad Sadria
Mehrshad Sadria@MehrshadSadria·
📢 Exciting News! 🧬 Introducing FateNet, a computational method co-developed by @ThomasMBury and I. By combining dynamical systems theory and deep learning, FateNet investigates cell decision-making processes using scRNA-seq data. 🧪 biorxiv.org/content/10.110…
English
1
3
8
606
Thomas Bury
Thomas Bury@ThomasMBury·
Listening to Spotify while training an ML model is a bad time...poor laptop.
English
0
0
1
155
Thomas Bury retweetledi
Yingjing Feng
Yingjing Feng@SeffyYjFeng·
Greatly enjoyed #SIAMDS23 so far! 🤓 Check out our 3-part MS tmr & on Thur: “Phase Transitions in Electrophysiological Systems” (MS135, 155 &170) organized by @AravindKumar264 and myself from @SMQB_UoB. @TheSIAMNews
Yingjing Feng tweet media
English
1
6
13
1.5K
Thomas Bury
Thomas Bury@ThomasMBury·
The mathematics of competing cardiac pacemakers is extraordinary. Really pleased to see this work with @khady_dgn, @gilbublab and others published in @PhysRevLett. Thanks to @philipcball for writing an excellent commentary.
Gil Bub@gilbublab

Our article on parasystole is now out in PRL, with a APS news commentary by Phillip Ball. Congats to Khady, Tom, Leon and the rest of the team! News: physics.aps.org/articles/v16/2 Article: journals.aps.org/prl/abstract/1…

English
0
2
7
946
Thomas Bury retweetledi
Plotly
Plotly@plotlygraphs·
#Plotly #Dash and #Python for heart health? ✅ @ThomasMBury used 𝘥𝘢𝘴𝘩.𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘪𝘦𝘴, 𝘱𝘭𝘰𝘵𝘭𝘺.𝘦𝘹𝘱𝘳𝘦𝘴𝘴 and callbacks to explore electrocardiogram recordings on Physionet as a (big) data source, supporting research on cardiac arrhythmias. 🫀
English
1
3
3
0
Thomas Bury
Thomas Bury@ThomasMBury·
Interested in building a dashboard to interactively view your data? I've just written a @Medium article on how to do this using @plotly's Dash and Python. We use thousands of ECG recordings from Physionet as a use case: link.medium.com/oj30T6SzWsb
English
0
7
13
0
Thomas Bury
Thomas Bury@ThomasMBury·
Our deep learning model is trained on data that has been exclusively detrended using a Lowess filter. Using other filters (or no filter) can yield erroneous outcomes - please preprocess your data using a Lowess filter if using our model! Thank you to @fdabl for catching this.
Fabian Dablander (@fdabl.bsky.social)@fdabl

Early warning signals for tipping points based on deep learning substantially outperform traditional indicators, as @ThomasMBury et al. showed. In a short note, we illustrate an unintended behavior of the method, stressing the importance of preprocessing: psyarxiv.com/j7xug

English
0
1
2
0
Thomas Bury retweetledi
Sujith R I
Sujith R I@SujithRI·
It gives me great pleasure to announce the launch of a webinar series on "Critical Transitions in Complex Systems" (ctcs-iitm.com) jointly hosted by @iitmadras and @PIK_Climate . [1/9]
Sujith R I tweet media
English
2
17
40
0
Thomas Bury
Thomas Bury@ThomasMBury·
In conclusion: a deep learning classifier can be trained on data from a universe of possible models to detect and classify approaching bifurcations/tipping points with better performance than conventional early warning signals.
English
1
0
1
0
Thomas Bury
Thomas Bury@ThomasMBury·
Combining #AI and dynamical systems theory improves tipping point detection. Check out our new publication in PNAS: “Deep learning for early warning signals of tipping points”. pnas.org/content/118/39… Summary thread below:
English
1
9
24
0

Keşfet

@thomas_quail @NatureComms @gilbublab @cbauch1 @AravindKumar264 @SMQB_UoB @TheSIAMNews @PhysicsToday