Niharika S. D'Souza (@sdniharika) 's Twitter Profile
Niharika S. D'Souza

@sdniharika

Research Scientist,@IBMResearch | PhD @JHU_ECE+MS @JohnsHopkinsAMS + EE @IITKGP

Interests: GNNs, Connectomics, Multimodal Representation Learning, AI4Science

ID: 1243220078256144386

linkhttps://research.ibm.com/people/niharika-dsouza calendar_today26-03-2020 16:55:47

84 Tweet

242 Followers

336 Following

Jascha Sohl-Dickstein (@jaschasd) 's Twitter Profile Photo

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

GRAIL workshop @ MICCAI 2025 (@grail2025) 's Twitter Profile Photo

📣 GRAIL 2024, the 6th international workshop on "GRaphs in biomedicAl Image anaLysis", has been accepted as MICCAI 2024 workshop!📣 We're thrilled to announce that GRAIL will be held in-person in Marrakesh, Morocco on October 6th! #MICCAI2024 #GRAIL2024 #geometricdeeplearning

Jay Cummings (@longformmath) 's Twitter Profile Photo

Here is a lovely geometric proof that sqrt(2) is irrational. The proof begins by looking at an isosceles right triangle whose legs have length 1. By the Pythagorean theorem, this triangle's hypotenuse will have length sqrt(2).

Here is a lovely geometric proof that sqrt(2) is irrational.

The proof begins by looking at an isosceles right triangle whose legs have length 1. By the Pythagorean theorem, this triangle's hypotenuse will have length sqrt(2).
Niharika S. D'Souza (@sdniharika) 's Twitter Profile Photo

That weekly temptation to modify my email signature to Best, Dr. {firstname=contactfield} in appreciation of the predatory journals that have such immense faith in my ability to conduct research.

Satyananda Kashyap (@follow_kashyap) 's Twitter Profile Photo

📢 Deadline Extended: ML-CDS Workshop MICCAI Submit your innovative #AI/#ML papers for clinical decision support by June 29, 2024 (AoE). Join us in Marrakesh to shape the future of #healthcare! Details: sites.google.com/view/ml-cdsmic…… #MICCAI2024 #ClinicalDecisionSupport

Niharika S. D'Souza (@sdniharika) 's Twitter Profile Photo

Apologies for the miscommunication earlier. Please note the latest submission deadline for GRAIL - June 29th, 23:59 PST. We look forward to learning about your work!

GRAIL workshop @ MICCAI 2025 (@grail2025) 's Twitter Profile Photo

🚀Exciting announcement🚀 We are launching the GRAIL Workshop Journal Club! Our aims are to: 📚Read and discuss the latest cutting-edge papers ☕️Bring the Graph Deep Learning community closer together 🧑‍💼Create a platform to share insights, discuss, and receive research feedback

Favour Nerrise ‎فيبر 🇨🇲 (@fnerrise) 's Twitter Profile Photo

🤩 Come join us talk about two of my favourite things—the brain 🧠 and graphs 📈. No expertise in any of those topics? No worries, I’ll break things down. Will also share some insights using neuroAI models for my research studies. See you Aug. 30 at 9am PT! Link below.

Bartek Papiez (@bwpapiez) 's Twitter Profile Photo

Travelling for MICCAI conference? ➡️Programme for #GRAIL2024 is online, see here: grail-miccai.github.io ➡️6th October morning, Morocco ➡️ fantastic talks on current research on #geometricdeeplearning for medical image analysis! ➡️fantastic keynote speakers!

Peyman Milanfar (@docmilanfar) 's Twitter Profile Photo

The simplest things in statistics can be deceiving. Take a measurement 𝐲 = θ + σ e where e ~ 𝒩(0,𝐈) is d-dim. What’s a good estimate of θ? You’d think the maximum-likelihood would be best, but you’d be wrong. James-Stein dominates ML in the mean² sense for d ≥3 Stein's

The simplest things in statistics can be deceiving. Take a measurement

𝐲 = θ + σ e 

where e ~ 𝒩(0,𝐈) is d-dim. What’s a good estimate of θ? You’d think the maximum-likelihood would be best, but you’d be wrong.

James-Stein dominates ML in the mean² sense for d ≥3

Stein's
Peyman Milanfar (@docmilanfar) 's Twitter Profile Photo

How are Kernel Smoothing in statistics, Data-Adaptive Filters in image processing, and Attention in Machine Learning related? My goal is not to argue who should get credit for what, but to show a progression of closely related ideas over time and across neighboring fields. 1/n

How are Kernel Smoothing in statistics, Data-Adaptive Filters in image processing, and Attention in Machine Learning related?

My goal is not to argue who should get credit for what, but to show a progression of closely related ideas over time and across neighboring fields.

1/n
UniReps (@unireps) 's Twitter Profile Photo

Coming right up - "Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations" by Tanveer Syeda-Mahmood from IBM Research ✨

Coming right up - "Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations" by Tanveer Syeda-Mahmood from IBM Research ✨
GRAIL workshop @ MICCAI 2025 (@grail2025) 's Twitter Profile Photo

🎉 Exciting News! 🎉 GRAIL 2025, the 7th International Workshop on Graphs in Biomedical Image Analysis, has been officially accepted as a MICCAI 2025 workshop! 🚀 We'll be back in-person in Daejeon, Republic of Korea for an incredible event🌏💡