https://github.com/kirili4ik/pres-n-articles

Some of the presentations, articles, reports I've written.
https://github.com/kirili4ik/pres-n-articles

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Some of the presentations, articles, reports I've written.

• Host: GitHub
• URL: https://github.com/kirili4ik/pres-n-articles
• Owner: Kirili4ik
• Created: 2020-04-15T19:01:48.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2025-03-01T12:08:52.000Z (4 months ago)
• Last Synced: 2025-03-01T12:25:57.319Z (4 months ago)
• Homepage:
• Size: 19.1 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Presentations and articles

Some of the presentations and articles I took part in. Updates from time to time

**! My always updated CV 🤗 !**

github;

gdocs

  The overview of the State-Space Models  - ICML-style review of 3 essential works on SSMs.  SSM_overview (Jan 2025). 

  

  Three overviewed papers are:

  


    1) HiPPO: Recurrent Memory with Optimal Polynomial Projections by A. Gu et. al.

  


    2) Resurrecting Recurrent Neural Networks for Long Sequences by A. Orvieto et. al.

  


    3) Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention by A. Katharopoulos et. al.

  

  Improving Convolutional Occupancy Networks - Paper describing what we have done in a team during ML43D course at TUM.  Github with improvements. 

  

      We modified ConvONets and improved the results on restoration of 3D objects by 10%.  convONets_3d_modifications (Jan 2025). 

   

  [MASTER] Multi-Agent Sales-Tailored Expert Robot - presentation, review of our project from hackathon [MASTER] (Apr 2024). 

  

  gdocs link

  

   Annotated OctoPack: Instruction Tuning Code Large Language Models paper (Dec 2023).

  

  

   Annotated CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning paper (Dec 2021).

  

  

  Empirical Study of Transformers for Symbolic Mathematics - presentation of my Bachelor's Thesis. Made in 2021.

  

   gdocs link for work in PDF

  

  gdocs link for presentation

  

  Training language GANs from Scratch - presentation, review of Cyprien de Masson d'Autume, Mihaela Rosca, Jack Rae,  Shakir Mohamed (NeurIPS 2019). Review made in March 2021.

  

  gdocs link

  

  Accent spotting - presentation, review of our project Accent Spotting (Dec 2020). 

  

  gdocs link

  

**Transformer-based Source Code Summarization** - report on my summer project (made in 2020). Includes review of summarization transformer-based methods and implementation of GGNN.

  Gradient_Estimation_with_Stochastic_Softmax_Tricks - presentation, review of Max B. Paulus et al. (NeurIPS 2020). Review made in November 2020.

  

  gdocs link

  

  Jax overview - overview of JAX library made in 2020.

  

  gdocs link

  

  corpus_NL2ML_Presentation - presentation for course work corpus NL2ML. Made for NL2ML corpus in 2020.

  

  

**Feature selection and extraction** - pre-neural methods for selection and extracion of features https://github.com/Kirili4ik/Selection-Extraction

**Adversarial_examples** - presentation, review of basic adversarial examples methods (made in 2019)

**Review_on_paper_Facebook** - review Xinran He et al. (2014), Practical Lessons from Predicting Clicks on Ads at Facebook (review made in 2018)