Gautam Shroff

[Gautam Shroff @gmshroff]

@Vidheesha7 @umavishnu Nice article on AI in the classroom, also mentioning my experiments with ICAPP (https://t.co/qPz3rU9YYO) both in the classroom as well as to connect students with interesting technology and research projects.

[Gautam Shroff @gmshroff]

Further to @GaryMarcus and other who rightly point out that #DeepSeek is 'just' more efficient, not 'better', one wonders if having lots of cheap agents debating can give 'better' results: enough for researchers to do now, even without the big $$!

[Gautam Shroff @gmshroff]

Nice article in the Indian Express where I have also shared some thoughts. The larger message to the research community especially in India is perhaps that we should not assume that the 'big labs' cannot be bested with brains from wherever!

[Gautam Shroff @gmshroff]

Nice article in the Indian Express where I have also shared some thoughts. The larger message to the research community especially in India is perhaps that we should not assume that the 'big labs' cannot be bested with brains from wherever!

[Vidhatri @VidhatriRao]

🧷We asked AI researchers in India what DeepSeek’s disruption means for us. Even as the US and China lead the AI race, they say we can catch up. “India could do a Mangalyaan in AI,” said @gmshroff, professor at IIIT-Delhi who earlier led research at TCS. A thread 1/4

[Gautam Shroff @gmshroff]

@VidhatriRao Nice article in the Indian Express where I have also shared some thoughts. The larger message to the research community especially in India is perhaps that we should not assume that the 'big labs' cannot be bested with brains from wherever!

[Gautam Shroff @gmshroff]

Turned 60 and 'retired' from @TCSResearch. But not 'tired': joined @IIITDelhi as a professor. Some research to continue - analogy (e.g. https://t.co/OG5gmewEYS), finance (e.g. https://t.co/BXrB65ulEl). Plus working on an ed-tech initiative, and hope to post more often too.

[Gautam Shroff @gmshroff]

I enjoyed this conversation with Kunal from @AnalyticsVidhya with his well informed questions.

[TCS Research @TCSResearch]

Dr. @gmshroff, TCS Fellow, SVP & Head, TCS Research, @TCS, shares his POV on the potential of #AI, insights about a career in #research & more, in conversation with @jainkunal, @AnalyticsVidhya.
Watch the episode here - https://t.co/v4qGl5bR6H
#PhDChat

[Gautam Shroff @gmshroff]

@AnthropicAI Great analysis in both the ‘papers’ ! Q: any similar intuition/snail about the overparameterized case? The toy models all involved fewer hidden dimensions than features…

[Anthropic @AnthropicAI]

We have little mechanistic understanding of how deep learning models overfit to their training data, despite it being a central problem. Here we extend our previous work on toy models to shed light on how models generalize beyond their training data.
https://t.co/0bYUToop3m

[Gautam Shroff @gmshroff]

Kudos to my collaborators especially students and faculty at BITS Goa: three papers at the upcoming IJCLR conference including this one. We are looking for pre-doc/post-doc applicants in Neurosymbolic reasoning. @TCSResearch @SforAiDL

[DeepAI @DeepAI]

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces
https://t.co/uzufNcs8Ma
by Vishwa Shah et al. including @gmshroff
#NeuralNetwork #DistributedRepresentations

[Gautam Shroff @gmshroff]

@fchollet Agree … I find very few students or junior researchers want to work on things like the ARC challenge ; everyone wants to do language models!

[Gautam Shroff @gmshroff]

Also, are we trying to 'understand' brains or solve practical problems? For the latter, symbols, programs or networks - only performance matters. For the former, there is a certain appeal of the purely neural approach. Distinguishing goals is important IMO.

[Gautam Shroff @gmshroff]

Excellent discussion of the symbol debate: "search' vs. an end-to-end NN trained via GD. Question: could 'search' (over whatever, compositions of neural modules or symbolic programs) be executed via a recurrent network with indeterminate number of steps? @GaryMarcus @ylecun

[J.C. Baillie @jcbaillie]

My thoughts on the symbolic/non-symbolic AI debate @GaryMarcus @ylecun, which I think is maybe not the right question to address: https://t.co/cPqVwbjflF

[Gautam Shroff @gmshroff]

Continual learning is usually motivated by trying to mimic plasticity/stability in brains. Here we present a practical motivation in an industry-inspired setting where task dimensions also vary. #inventingforimpact @TCSResearch @ylecun

[DeepAI @DeepAI]

Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
https://t.co/CWu1L2XTOz
by Vibhor Gupta et al. including @gmshroff
#Classifier #RecurrentNeuralNetwork

[Gautam Shroff @gmshroff]

https://t.co/0Mq2CDRxi9

[Gautam Shroff @gmshroff]

@TCSResearch nice to be quoted by DeepAI!

[DeepAI @DeepAI]

DRTCI: Learning Disentangled Representations for Temporal Causal Inference
https://t.co/9es9LU38ZU
by Garima Gupta et al. including @gmshroff
#ComputerScience #Learning

[TCS Research @TCSResearch]

40 years ago, this month, TCS Research was born.
We salute the visionary who started the Software Research Lab in @TCS - Prof. Kesav Vithal Nori.
Click to hear Professor Nori speak about how it all began - https://t.co/0AX9W0S9Cq
#TCSResearch #Research #TCS
#40andforward

[Gautam Shroff @gmshroff]

Nice work! Consistent gains on many standard environments. Here’s the archive version: https://t.co/kWVZTVidN4

[TCS Research @TCSResearch]

At #AAMAS2021, our researchers presented a reward-shaping #algorithm for #reinforcementlearning that works by trying to win against itself. We show that the modified algorithm converges faster & is more stable. Read here- https://t.co/4Lks9v5WNK
#research #researchpaper #scicomm

[Gautam Shroff @gmshroff]

Charms of a catchy title! I’ve been guilty of the same … see this from a decade ago: https://t.co/w54KXFZLkX

[Rajaswa Patil @RajaswaPatil]

Beware, your date might need a lot of "attention" 👀

[Gautam Shroff @gmshroff]

Key points: from the Stanford report - India has %>avg AI talent but <<avg publications. Reasoning remains a challenge for ML/DL in spite of GPT3, Copilot etc. - my bet is on neurosymbolic learning : but with distribution representations as ‘symbols’

[TCS Research @TCSResearch]

Dr. Gautam Shroff, TCS Fellow, SVP & Head, TCS Research, @TCS recently shared valuable insights in his Keynote Session ‘Cutting Edge of AI from India for the World' at the #NASSCOMXperienceAI Virtual Summit 2021. Watch full video here https://t.co/9hyF4C8oZO
@gmshroff
@nasscom

[TCS Research @TCSResearch]

Dr. Gautam Shroff, TCS Fellow, SVP & Head, TCS Research, @TCS recently shared valuable insights in his Keynote Session ‘Cutting Edge of AI from India for the World' at the #NASSCOMXperienceAI Virtual Summit 2021. Watch full video here https://t.co/9hyF4C8oZO
@gmshroff
@nasscom

[Gautam Shroff @gmshroff]

Chap 11 of this excellent book by ⁦⁦@kenneth0stanley⁩ should be required reading for all reviewers in AI conferences; and the whole book for anyone having to ‘manage’ research (like myself!). https://t.co/Budjuqm0zN