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👋 Hi! I’m a PhD student in the Evolutionary Intelligence group at the Dutch Institute for Maths & Computer Science (CWI).

My primary research interests are Hyperparameter Optimization and Neural Architecture Search (NAS). I believe leveraging Evolutionary Algorithms (EAs) for non-differentiable Machine Learning problems such as these is a potentially high-impact research direction. In addition to not requiring gradients, most EAs are trivial to parallelize & scale, so they are fully compatible with Sutton’s Bitter Lesson.

Research-wise I’m also interested in Explainable AI (my Master thesis was partly about using NAS for explainability) and image generation (the applied part of my PhD project is about privacy-preserving medical image data sharing with GANs).

Life-wise I’m into fantasy, hiking, and discussing weird ideas.

Always happy to chat about these topics!

Alexander Chebykin's Projects

api-extraction icon api-extraction

Programs for downloading multiple projects from github and extracting methods' comments and function calls from them

articles icon articles

Papers sources, pictures, presentations, and other stuff

assignments icon assignments

The repository to fork and complete assignments in it.

batchgenerators icon batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

brax icon brax

Massively parallel rigidbody physics simulation on accelerator hardware.

chrome-better-bookmark icon chrome-better-bookmark

Chrome Extension that lets you easily add bookmarks to any category. Includes spotlight-like search with mouse/keyboard support.

deep-api-bayou-intellij-plugin icon deep-api-bayou-intellij-plugin

Combining DeepAPI and Bayou models for API-heavy Java code generation from English descriptions - in your IDE (if your IDE is IntellIJ IDEA or Android Studio, of course).

dsl_all_code icon dsl_all_code

Official implementation of paper "Mining Multi-Center Heterogeneous Medical Data with Distributed Synthetic Learning"

embox icon embox

Modular and configurable OS kernel for embedded applications

encas icon encas

NAS + Cascades | Best Paper @ GECCO 2022

hyfree-s3 icon hyfree-s3

Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation

javaparser icon javaparser

Java 9 Parser and Abstract Syntax Tree for Java –

mo-pbt icon mo-pbt

An algorithm for multi-objective hyperparameter optimization: Multi-Objective Population Based Training (MO-PBT) | ICML 2023

multiobjectiveoptimization icon multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

netdissect-lite icon netdissect-lite

Light version of Network Dissection for Quantifying Interpretability of Networks

ni-project-rsa icon ni-project-rsa

Neural Information Processing project - Representation Similarity Analysis vs Performance

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