Rushil

I work on problems in machine learning, and other cool things @amazon. Previously @Livermore_Lab, EE PhD from @ASU, @surathkal_nitk

[Rushil @RUSH1L]

@pturaga1 @KK_Ilkal @Suhas_Lohit Here’s hoping! Until then….

[NYT Magazine @NYTmag]

The mathematician Ingrid Daubechies’ pioneering work in signal processing helped make our electronic world possible — and beat a path for women in the field. https://t.co/798Sgem2Gi

[Peyman Milanfar @docmilanfar]

For a generation of Iranians who came of age during & just after the Islamic Revolution of 1979, current events in Afghanistan are not just heartbreaking, but also deeply personal & resonant with our own experiences.

I was smuggled alone out of Iran. I was 15. Here's my story.

[NYT Science @NYTScience]

Laser fusion just took a leap forward. For a fraction of a second, the National Ignition Facility at Lawrence Livermore produced 10 percent as much power as all the sunshine hitting the Earth. https://t.co/jIZNWajcme by @kchangnyt

[White House Office of Science & Technology Policy @WHOSTP]

Congratulations to @Livermore_Lab researchers on reaching this pivotal milestone. This step toward #fusion ignition paves the way for countless new experiments at @lasers_llnl that drive scientific advancement.

[Rushil @RUSH1L]

Recent LLNL experiments show that we are now within striking distance to the long held dream of sustainable nuclear fusion (energy output > input) -- a spectacular breakthrough in physics, with very wide ranging implications.

[Lawrence Livermore National Laboratory @Livermore_Lab]

LLNL’s @lasers_llnl took a historic step forward in the decades-long quest for #fusion ignition on Aug. 8, achieving a yield of more than 1.3 megajoules. The milestone puts researchers at the threshold of #ignition & opens the door to new NIF experiments. https://t.co/MjQA0MZXrl

[Rushil @RUSH1L]

Our paper on using NERF-like networks for dynamic CT imaging has been accepted to ICCV 2021!
Special thanks to the ACs and reviewers for championing it, even though it's a niche topic for vision conferences. @imaginglyceum.

[LLNL Computing @Livermore_Comp]

We have multiple openings (at different experience levels) for #DataScience professionals. Apply today!

https://t.co/OKwntTtZZh

#computing #career #job #nationallab #machinelearning #postdocs

['YZ' Yezhou Yang (杨叶舟) @prof_yz]

Feeling "your work and our work is similar although not exactly sure what our work is"?

Drop by @APGASU presence @iclr_conf, and perhaps we can explain.
@ChanghoonKim3 Mon May3rd 5pm (all inPST)
@Jacob292020 Wed May5th 9am
@trgokhale @robustML workshop on Fri May7th 10am/3pm

[Rushil @RUSH1L]

We observed that coordinate based learning results in effective priors for inverse imaging tasks even in dynamic settings, requiring resolution of spatial-temporal info. Impressive
work by our intern Albert Reed over last year with @imaginglyceum. Thanks for the shoutout @ukmlv!

[Rushil @RUSH1L]

This is a shocking level of apathy

[Harsh Bhatia @harshbhatia85]

Excited to share our work on using machine learning to enable autonomous and adaptive multiscale simulations https://t.co/i790XQxQA6

[Joaquin Vanschoren @joavanschoren]

We are launching a *new track* at #NeurIPS2021, for #datasets & #benchmarks. We hope that this new track will lead to a substantial increase in high-quality #machinelearning datasets and benchmarks, and give authors proper credit for their work! @syeung10 https://t.co/bxs2Ng4Fqv

[Rushil @RUSH1L]

@MehdiBahri1 @shantaneau @EarthSeaSmile @pturaga1 Yes, same submission rules as the full
papers, except the page limit.

[Rushil @RUSH1L]

If you work on applying ideas from geometry or topology to help CV & ML -- consider submitting a paper to the 6th edition of the DiffCVML workshop at #CVPR2021!

Excited to be a part of this team with @shantaneau @EarthSeaSmile @pturaga1

More info: https://t.co/kaiFBFfo7K

[Rushil @RUSH1L]

@MehdiBahri1 @shantaneau @EarthSeaSmile @pturaga1 Please use the same CVPR template for extended abstracts as well

[Jay Thiagarajan @jjayaram7]

Delighted that our paper won the Best Paper Award at the #SPIEMedicalImaging Conference in Computer Aided Diagnosis. @SPIEtweets.

[Jay Thiagarajan @jjayaram7]

Super glad to share that our paper on calibration-driven learning for approximating scientific processes is featured as part of the @NatureComms Editor's highlights on recent research in AI and ML (https://t.co/YSgT6Qqfh3) #AI4Science @LLNL @Livermore_Comp

[LLNL Computing @Livermore_Comp]

At #WACV2021 lead author @RUSH1L received the conference’s Best Paper Honorable Mention award based on potential impact to #ComputerVision. 👉 https://t.co/BCi57mYmwl

#MachineLearning #Computing