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Patrick Kidger
@PatrickKidger
4 years
Happy to announce that our work on neural differential equations + time series - Neural CDEs - got accepted w/ spotlight at NeurIPS!
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Replies
Takeshi Teshima
@DiadochosT
4 years
@PatrickKidger
Congrats and nice work, Patrick! (I think I'll read the paper in a private paper-reading seminar of our lab ;)
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Patrick Kidger
@PatrickKidger
4 years
@DiadochosT
Amazing!
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Michael Poli
@MichaelPoli6
4 years
@PatrickKidger
Well deserved. I bet we'll see a lot of Neural CDE / RDE papers going forward
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Alexander Norcliffe
@alexnorcliffe98
4 years
@PatrickKidger
Great news! Really enjoyed reading NCDE, keen to see what Neural ODE work will be next!
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Thanh Nguyen-Tang
@thanhnguyentang
4 years
@PatrickKidger
Congrats
@PatrickKidger
:D
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Ali Farshchian
@neural_dragoman
4 years
@PatrickKidger
Congratulations! Well deserved! It’s a wonderful paper!
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Cristian Bodnar
@crisbodnar
4 years
@PatrickKidger
Congrats! Very much enjoyed reading your latest neural differential eq. papers and excited to see what comes next.
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Chris Willcocks
@cwkx
4 years
@PatrickKidger
Well done Patrick, and very well deserved for a such a well-written and rigorous paper!
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Luca Ambrogioni
@LucaAmb
4 years
@PatrickKidger
@diegovogeid
Very cool! Congrats!
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Darío Bueno Vargas
@darogood
4 years
@PatrickKidger
👏👏👏
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taitan
@taitan0001
4 years
@PatrickKidger
very interesting topic.
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Mohammad Talaei
@MtTalaei
3 years
@PatrickKidger
Great work Patrick, I think using Julia programming language (which is a differentiable programming language) would be helpful for the computation speed that you talked about. It's very similar to Pytorch. What do you think?🤔
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