Katrina Drozdov (Evtimova) @stochasticdoggo
AI researcher | PhD from @NYUDataScience | Bulgarian yogurt, prime numbers, and dogs bring me joy | she/her kevtimova.github.io New York, USA Joined September 2017-
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Katrina Drozdov (Evtimova) retweeted
The application for a research fellowship at the Flatiron Institute in the Center for Computational Math is now live! This includes positions for ML and stats. The deadline is Dec 1. Links below with more details.
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Finally dipped my toes into RL post-training. I trained a code generation LLM with GRPO using open-r1. Here are my 9 takeaways: kevtimova.github.io/posts/grpo/
Katrina Drozdov (Evtimova) retweeted
This simple pytorch trick will cut in half your GPU memory use / double your batch size (for real). Instead of adding losses and then computing backward, it's better to compute the backward on each loss (which frees the computational graph). Results will be exactly identical
Katrina Drozdov (Evtimova) retweeted
excited to finally share on arxiv what we've known for a while now: All Embedding Models Learn The Same Thing embeddings from different models are SO similar that we can map between them based on structure alone. without *any* paired data feels like magic, but it's real:🧵
excited to finally share on arxiv what we've known for a while now: All Embedding Models Learn The Same Thing embeddings from different models are SO similar that we can map between them based on structure alone. without *any* paired data feels like magic, but it's real:🧵
Katrina Drozdov (Evtimova) retweeted
it's been more than a decade since KD was proposed, and i've been using it all along .. but why does it work? too many speculations but no simple explanation. @_sungmin_cha and i decided to see if we can come up with the simplest working description of KD in this work. we ended…
Katrina Drozdov (Evtimova) retweeted
CDS PhD Vlad Sobal (@vlad_is_ai) and Courant PhD Wancong (Kevin) Zhang show that when good data is scarce, planning beats traditional reinforcement learning. With @kchonyc, @timrudner, and @ylecun. nyudatascience.medium.com/when-good-data…
We’re working on researching and designing world models. In the meantime, you definitely need RAG and FreshStack will help.
We’re working on researching and designing world models. In the meantime, you definitely need RAG and FreshStack will help.
Katrina Drozdov (Evtimova) retweeted
No labels. No problems. 😎 Check out the new impactful approach (TAO) from the Mosaic Research Team!
No labels. No problems. 😎 Check out the new impactful approach (TAO) from the Mosaic Research Team!
Huge congratulations on the launch! @reflection_ai has an incredible team and an ambitious mission—excited to follow your progress!
Huge congratulations on the launch! @reflection_ai has an incredible team and an ambitious mission—excited to follow your progress!
Katrina Drozdov (Evtimova) retweeted
Today I’m launching @reflection_ai with my friend and co-founder @real_ioannis. Our team pioneered major advances in RL and LLMs, including AlphaGo and Gemini. At Reflection, we're building superintelligent autonomous systems. Starting with autonomous coding.
Katrina Drozdov (Evtimova) retweeted
I shared a controversial take the other day at an event and I decided to write it down in a longer format: I’m afraid AI won't give us a "compressed 21st century". The "compressed 21st century" comes from Dario's "Machine of Loving Grace" and if you haven’t read it, you probably…
I asked ChatGPT, Gemini, and Claude for a clever joke. They all gave me the same one. Either AI is merging into a hive mind… or humor has officially been solved mathematically!
Katrina Drozdov (Evtimova) retweeted
VideoJAM is our new framework for improved motion generation from @AIatMeta We show that video generators struggle with motion because the training objective favors appearance over dynamics. VideoJAM directly adresses this **without any extra data or scaling** 👇🧵
Katrina Drozdov (Evtimova) retweeted
The buzz over DeepSeek this week crystallized, for many people, a few important trends that have been happening in plain sight: (i) China is catching up to the U.S. in generative AI, with implications for the AI supply chain. (ii) Open weight models are commoditizing the…
The principle of least effort, from psychology, describes how we favor efficiency over effort. It aligns with System 1 (fast, intuitive) vs. System 2 (slow, deliberate) reasoning. AI faces a similar challenge: knowing when to rely on heuristics vs. deeper reasoning.
Katrina Drozdov (Evtimova) retweeted
The recording of the GAN test of time talk by @dwf is now publicly available: neurips.cc/virtual/2024/t…
Katrina Drozdov (Evtimova) retweeted
Got a diffusion model? What if there were a way to: - Get SOTA text-to-image prompt fidelity, with no extra training! - Steer continuous and discrete (e.g. text) diffusions - Beat larger models using less compute - Outperform fine-tuning - And keep your stats friends happy !?
Katrina Drozdov (Evtimova) retweeted
So…world model = video model?
Katrina Drozdov (Evtimova) retweeted
There are a few updates to the review process at #ICML2025. These updates are all described on the ICML website, but we also released a blog post explaining our decisions (links & summary 🧵below):
Katrina Drozdov (Evtimova) retweeted
The beauty of 2025 in numbers ! ✍️
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