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Hi there 👋

I work as an ML researcher, currently interested in Bayesian modelling, language models, causal inference, and using ideas from information theory on the above.

I'm also slowly working through the basics of category theory as well as persistent homology. I'd love to understand how ideas from cat. theory map to applied questions, e.g., the work of Fong, Spivak, et al., with Bayesian networks and data manipulations. For persistent homology, I want to see how tools can be used to learn more about how language models tick.

Kosti's Projects

arxivsearch icon arxivsearch

Search arXiv from the command line. Easily open as URL, PDF or output a generated BibTex entry. Integration with BibDesk to automatically insert references. Naive keyword scoring system to filter results to those likely to be relevant.

auriga icon auriga

Auriga is a minimalist LaTeX beamer presentation theme 📽

avatar icon avatar

Official code of our work, AVATAR: A Parallel Corpus for Java-Python Program Translation.

awesome-deeplogic icon awesome-deeplogic

A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

bip icon bip

Biostatistics in Practice course notes

blog icon blog

Files that I use on my blog, mainly code.

blog-re-tolerance icon blog-re-tolerance

Jupyter notebook companion for "a tolerance for the relative entropy?" blogpost.

btheb1team icon btheb1team

This is the repo for a project. The relevant class is PUBHLTH 590F, UMass Amherst.

chatarena icon chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

comm-calc-sympy icon comm-calc-sympy

Example of calculations in IPython involving exponential of operators and Lie brackets.

debias icon debias

Implementation of debiasing algorithm in "Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes" on ProPublica's COMPAS data set

diff_history icon diff_history

[arXiv preprint 2024] Official code release accompanying the paper "diff History for Neural Language Agents" (Piterbarg, Pinto, Fergus)

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