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datvo06/README.md

Hi!

I am a Postdoctoral Fellow at Harvard's Programming Languages and Formal Methods groups and the Basis Research Institute. I obtained my PhD from the University of Melbourne in analyzing neural networks for program analysis and program synthesis.

I work at the intersection of programming languages and machine learning — using PL abstractions (grammars, effect handlers, program synthesis) to build ML systems that are more compositional, interpretable, and robust.

Recent side project: Grammars that generalize — combining a small DSL with a neural network for image classification gives domain invariance for free.

VRDSynth Autumn.cpp NeuroSymbolicDG
VRDSynth
VRDSynth
Synthesizing Programs for Visually Rich Information Extraction.
Autumn.cpp
Autumn.cpp
An Autumn Interpreter in Cpp for MARA.
NeuroSymbolicDG
NeuroSymbolicDG
A small DSL + neural network gives domain-invariant image classification.

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  1. BasisResearch/Autumn.cpp BasisResearch/Autumn.cpp Public

    Autumn.CPP (aka. Autumn.WASM) A cpp implementation of Autumn that compiles to WASM, Python and Julia bindings.

    C++ 6 2

  2. BasisResearch/MARAProtocol BasisResearch/MARAProtocol Public

    An Implementation of MARA Protocol with AutumnBench examples

    Python 2 2

  3. BasisResearch/effectful BasisResearch/effectful Public

    An experimental library for metaprogramming with algebraic effects and handlers

    Python 33 4

  4. MSAU MSAU Public

    Multi Stage Attentional UNet

    Python 11 4

  5. VRDSynth VRDSynth Public

    Synthesizing programs to link visually-rich document entities. This is the replication code for VRDSynth paper, accepted in ISSTA'24

    Python 4

  6. namin/dafny-sketcher namin/dafny-sketcher Public

    piggybacking on the Dafny language implementation to explore interactive semi-automated verified program synthesis, combining LLMs and symbolic reasoning

    Dafny 16 6