Sören Becker
@SorenBecker
Followers
96
Following
53
Media
0
Statuses
25
Joined March 2020
RT @_yji_: Do you run functional assays? Wish you could get more results without having to scale?. If you’re not using Prophet, you’re leav….
0
13
0
RT @PhilippWeiler7: I am really happy and excited to see CellRank 2 out in Nature Methods (! @naturemethods @Helmho….
0
35
0
RT @LucaEyring: Dealing with undesired distribution shifts in unpaired translation tasks? Our #ICLR2024 paper shows how to mitigate them le….
0
17
0
RT @KHrovatin: Existing datasets can be combined and re-used to bring insights unattainable from individual datasets. To see how to achieve….
0
5
0
RT @danielle_maddix: All are invited to submit to our first ICLR 2024 workshop on AI4DifferentialEquations in Science! We welcome submissio….
0
29
0
RT @Dominik1Klein: Join us for a discussion on uncovering new biological insights through the application of Optimal Transport. We'll start….
0
3
0
RT @IdoAmitLab: We are very excited to present the development of Zman-seq (“Zman”, Hebrew for “time”), the 1st technology that measures si….
0
286
0
RT @lauradmartens: Is binarization of scATAC-seq data really necessary? The conclusion from our analysis is that a quantitative treatment i….
0
97
0
RT @_kirtan_: The AI Transparency Institute is hosting the AI governance forum virtually on 1 December. The speakers come from diverse back….
0
1
0
Really enjoyed this collaboration!.
🚨 ODEFormer is on Arxiv! We show that Transformers can recover the differential equations governing dynamical systems from noisy & irregularly sampled trajectories. Very fun collaboration with @SorenBecker, @TrackingPlumes, @pschwllr & @k__niki!. 🧵⤵️
0
0
21
RT @saramagliacane: Have you ever wondered where do #causal variables come from? 🤔. Join the discussion on #causal #representation #learnin….
0
10
0
RT @Holtkamp_Eva: 1/n We're very excited to announce the release of #DeepRVAT, a deep neural network approach to learn burden scores from r….
0
21
0
RT @Dominik1Klein: 1/10 Looking for a tool to map cells across time and space? We introduce a scalable framework f….
0
41
0
RT @fabian_theis: Glad to see our review on best practices for single-cell analysis across modalities out @NatureRevGenet! In a big team ef….
0
223
0
RT @k__niki: The Munich Center for Machine Learning (MCML) invites applications for multiple roles:. PhD positions: .
0
23
0
RT @LucaEyring: Very excited to be presenting our work later today at the @lmrl_bio workshop @NeurIPSConf as a contributed talk! For furthe….
0
7
0
RT @causal_on: We would like to thank everyone that followed our workshop, in person or remotely! It was a pleasure to meet all of you 🤗. T….
0
5
0
RT @JorisMooij: Delivered a presentation on Markov properties for continuous-time dynamical systems at #NeuRIPS22 workshop "Causal View on….
0
6
0
RT @LukasHeumos: I'm very excited to finally announce our online book on single-cell analysis best practices. We b….
0
23
0
RT @causal_on: You are a PhD student and need financial support 💰 to pay the conference + workshop fees to attend the CDS workshop? Please….
0
6
0