Tetiana Parshakova — accepted AI-conference papers

2024

Optimization Algorithm Design via Electric Circuits

Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh

NeurIPS 2024spotlight

We present a novel methodology for convex optimization algorithm design using ideas from electric RLC circuits. Given an optimization problem, the first stage of the methodology is to design an appropriate electric circuit whose continuous-time dynamics converge to the solution of the optimization p…

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2023

Efficient Graph Field Integrators Meet Point Clouds

Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, YUNFAN ZHAO, Eli Berger, Tetiana Parshakova +10

ICML 2023poster

We present two new classes of algorithms for efficient field integration on graphs encoding point cloud data. The first class, $\mathrm{SeparatorFactorization}$ (SF), leverages the bounded genus of point cloud mesh graphs, while the second class, $\mathrm{RFDiffusion}$ (RFD), uses popular $\epsilon$…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗