Jennifer Williams

Senior researcher @NVIDIA. Views are all mine.

[Jennifer Williams @Jenn_L_Williams]

Excited to share SWE-Serve, a new benchmark for inference engineering! 🚀

[Jiantao Jiao @JiantaoJ]

🚀 New benchmark alert: SWE-Serve (https://t.co/9rITGiEvWU)

Can AI agents develop inference engine and make it serve real models?

Our team at @nvidia built 53 tasks from real @sgl_project engineering work to find out. The chart shows why live-serving tests matter. 🧵

[I Can't Believe It's Not Better! @ICBINBWorkshop]

ICLR 2025 starts next week!
Our workshop “I Can’t Believe It’s Not Better” is on April 28 (Singapore time) — join us to talk real-world challenges in applying deep learning and foundation models across fields.
📍 https://t.co/UVtUIp26y3

[I Can't Believe It's Not Better! @ICBINBWorkshop]

Excited to announce that our workshop "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" has been accepted at #ICLR2025! 🎉 Stay tuned for updates on the agenda, and paper submissions.

[I Can't Believe It's Not Better! @ICBINBWorkshop]

#NeurIPS2023 Gear up for a rollercoaster ride of AI misadventures at 'Failure Modes in the Age of Foundation Models'! 🤖🎢Join our workshop tomorrow in room R02 for fun tales of AI gone wild, quirky biases, and epic fails. #ICBINBworkshop https://t.co/z9xLW1Grq2

[Jennifer Williams @Jenn_L_Williams]

🥳 Super excited to share my 𝐟𝐢𝐫𝐬𝐭 𝐜𝐨-𝐟𝐢𝐫𝐬𝐭 𝐚𝐮𝐭𝐡𝐨𝐫 paper! Recently accepted to @CLeaR_2022!

[Mariya Toneva @mtoneva1]

Why are huge parts of 🧠 predicted well by the same DNN representation? Do these parts really process similar things?

We propose a causal framework to infer the effect of complex stimuli on multiple brain zones.

https://t.co/DiVIUTFwqa
To appear @ Causal Learning & Reasoning
🧵

[Society for Neuroscience (SfN) @SfNtweets]

Abstracts for #SfN21 will now be accepted until Friday, July 16 at 12 p.m. EDT. We appreciate your patience as we work to resolve a technical issue. Please check back at https://t.co/96iBvOUx2C for more information shortly.

[Moshe Vardi @vardi]

How Computer Science at CMU Is Attracting and Retaining Women https://t.co/akr6IvnKo0