Balaji Krishnamurthy

Senior Principal Scientist and Senior Director, Media and Data Science Research Lab, Adobe

[Balaji Krishnamurthy @KbalajiTweets]

Adobe MDSR Lab is hiring researchers in Language Understanding, Data Science, and Computer Vision. Apply Here
Link: https://t.co/sB43aF6muh

[Balaji Krishnamurthy @KbalajiTweets]

@_cagarwal @UVA @uvadatascience Congratulations Chirag!! Continue the great work and looking forward to seeing many breakthroughs 👍

[Balaji Krishnamurthy @KbalajiTweets]

Congratulations Sumedh! Keep pursuing your ambitious line of work.All the best!

[Sumedh Sontakke @ RSS 2026 @SOTA_kke]

Thanks to @KbalajiTweets and @NikaashPuri for your very useful feedback in the very beginning of the PhD.

[Balaji Krishnamurthy @KbalajiTweets]

@PubityIG Ok

[Balaji Krishnamurthy @KbalajiTweets]

@Diyi_Yang @Stanford Congratulations @Diyi_Yang

[Balaji Krishnamurthy @KbalajiTweets]

@sidgairo18 @ayushchopra96 @eccvconf This is very cool! Congratulations!!

[Balaji Krishnamurthy @KbalajiTweets]

@nupurkmr9 @rzhang88 @elishechtman @junyanz89 Great work @nupurkmr9 ! Congratulations!

[Balaji Krishnamurthy @KbalajiTweets]

@a7b2_3 @shengjia_zhao @electronickale @baaadas @StefanoErmon This is outstanding! Congratulations Abhishek!

[Balaji Krishnamurthy @KbalajiTweets]

Nice work!

[Ayush Chopra @ayushchopra96]

Our new research on private machine learning with point clouds w/ @raskarmit @tremblerz @vivoutlaw.

[Balaji Krishnamurthy @KbalajiTweets]

@rishiyer @Adobe Congratulations on the award Rishabh! Look forward to a great collaboration

[Balaji Krishnamurthy @KbalajiTweets]

Join us to advance the field and make an impact on the world. Apply via link below
Link: https://t.co/sB43aF5OEJ

[Chirag Agarwal @_cagarwal]

Our team at Adobe MDSR Lab has multiple openings for Research Scientists interested in Language Understanding, Data Science, and Computer Vision. Apply to work in a great team and work culture. Feel free to DM me with any questions!
Link: https://t.co/NeapIMlUN1

[Balaji Krishnamurthy @KbalajiTweets]

@jessyjli Congratulations Jessy! Look forward to seeing your work advancing our knowledge in this important area

[Anil Chakravarthy @achakravarthy12]

#AdobeSummit kicks off Tuesday, March 15. If you’re a digital business (and today everyone is), this is the place to be. Won’t disappoint. Free and virtual. https://t.co/wnEOSDKP7C

[Balaji Krishnamurthy @KbalajiTweets]

Sometimes a corollary sounds much more interesting than a general statement 🙂

[Fermat's Library @fermatslibrary]

Each prime (except 2 and 3) is next to a multiple of 6.

[Balaji Krishnamurthy @KbalajiTweets]

I think that funding the formalization of math and associated computational tools, including AI/ML tools and hardware can result in huge gains in productivity and creativity of mathematicians, and lead to a resolution of Collatz and benefit Math in general.

[Balaji Krishnamurthy @KbalajiTweets]

A very interesting thought on whether $1 billion and focussed approach for a decade can lead to settling collatz conjecture.

The main bottleneck here is the time and productivity of mathematicians who have to build tools and connect different fields.

[Michael Nielsen @michael_nielsen]

Fun post by @DRMacIver : Can you solve the Collatz Conjecture in a decade, given $1 billion of funding?

https://t.co/FcoLEINYVN

I'd be shocked.

In general, the form of the question is interesting.

[Shachar Mirkin @shacharmirkin]

These language models are getting out of hand

[Balaji Krishnamurthy @KbalajiTweets]

Adobe MDSR Lab is hiring researchers in Language Understanding, Data Science, and Computer Vision. Apply Here https://t.co/jdAhdjo4FT

[Balaji Krishnamurthy @KbalajiTweets]

4. Interpretable & Hierarchical Topic Models using Hyperbolic Geometry (WiML Workshop)
5/

[Balaji Krishnamurthy @KbalajiTweets]

Check out the work from the scientists of Adobe MDSR Labs at NeurIPS2021, spanning Computer Vision, Deep Reinforcement Learning, and Language Understanding. 1/

[Balaji Krishnamurthy @KbalajiTweets]

3. Status-quo policy gradient in Multi-Agent Reinforcement Learning (Deep RL Workshop)
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