News
2024
- 2024.10 Two of my abstracts were accepted for oral presentation at the American Geophysical Union (AGU) conference in Washington, D.C. on December 13. Thanks to my collaborators from the SAR-FM team!
- 2024.09 🇮🇹 I have joined the team organizing the fourth BioInference conference at the Polytechnic University of Turin on June 4-6, 2025!
- 2024.09 I have been invited to present on "Experience Replay in Continual Learning" at the ICCSCT 24, a hybrid conference held in Hong Kong on November 22-23.
- 2024.09 🇩🇪 My poster on "Forward-Forward Optimization in Small Data" has been accepted to the SmallData Symposium in Freiburg! I will be presenting on October 8th.
- 2024.07 I was invited to give a talk (on July 2) on "Practical Strategies for Continuous Learning in Complex Modeling" to the research teams of the FDL-X program hosted by NASA.
- 2024.06 🇮🇹 I have been accepted to the Frontier Development Lab (FDL) Europe 2024 summer program, hosted by the European Space Agency and Trillium Technologies! Time to make some foundation models for SAR.
- 2024.06 🇮🇪 I will be giving a 3-hour tutorial on Continual Learning for Multi-Agent Systems at the 24th European Agent Systems Summer School at University College Dublin on August 20th.
- 2024.04 I am happy to present the results of my TAILOR grant on June 4 at the 4th TAILOR Conference - Trustworthy AI from lab to market.
- 2024.04 🇬🇧 I will be presenting the progress of my work on gradient-free optimization for CL at BioInference at the University of Warwick, UK on June 6th. It will be a poster titled "The Forward-Forward Algorithm: Biologically Inspired Optimization for Continual Learning"!
- 2024.02 Thanks to a grant from the Python Software Foundation, I will be attending PyCon US 2024 remotely!
- 2024.01 🏆 My paper "Batch Sampling for Experience Replay" won the Best Paper Award at the CODS-COMAD!
2023
- 2023.11 🇪🇸 My paper "Evaluating Knowledge Retention in Continual Learning" has been accepted for poster presentation at the 39th ACM/SIGAPP Symposium On Applied Computing.
- 2023.11 I was invited to remotely speak at the ICCSCT on November 24th about performance metrics in CL ("Evaluating Continual Learning: A Detailed Survey of Performance Metrics").
- 2023.11 🇫🇷 The 3rd International Workshop on AI for Robotics at NAVER LABS Europe in Grenoble gave me the opportunity to present my preliminary results on training batch expansion for continual learning on 16 November.
- 2023.11 🇮🇳 My paper "Batch Sampling for Experience Replay" has been accepted for the CODS-COMAD conference and I will be presenting it in Bangalor, India sometime between 4 and 7 January.
- 2023.10 🇨🇦 I will present the current state of my dissertation at the AAAI-24 Doctoral Consortium on February 21, 2024 in Vancouver, Canada.
- 2023.10 I got the travel grant from G-Research! Every month they support the most promising PhD students or postdocs in quantitative disciplines from any European country with grants of £2,000. Here is the link to the programme description.
- 2023.09 I will be virtually delivering a talk on 'Memory Management Strategies in Replay-Based Continual Learning Beyond Reservoir Sampling' at the Continual AI UnConference on October 19. Registration is absolutely free!
- 2023.09 🇵🇱 My poster submission has been accepted for the ML in PL Conference, which will take place in Warsaw from October 26 to 29.
- 2023.05 🇬🇧 On June 30th, I will be delivering a contributed talk on the topic of Continual Learning as an Affordable ML tool at The First Edinburgh Workshop on Affordable Machine Learning. This event is hosted by The Schools of Informatics and Engineering at The University of Edinburgh.
- 2023.02 🇮🇹 For the next
twothree months, I will be conducting research at the Pervasive AI Laboratory at the University of Pisa in Italy, as part of the TAILOR grant.
2022
- 2022.12 🇺🇸 I will be at the HICSS conference in Lahaina, Hawaii (USA) from January 2, 2023 to January 7.
- 2022.12 My virtual registration for NeurIPS was covered by the organizers of Robot Learning Workshop. Thank you!
- 2022.11 HOSTKEY, a web services provider from the Netherlands, gave me access to a server with configuration 8 vCore/32Gb/240Gb vHDD/VGPU RTX A4000 as a computing grant for continual learning research. Awesome!
- 2022.10 🇧🇪 I visited Bruges (Belgium) with a spotlight poster presentation at the ESANN conference October 2-7.
- 2022.09 I started my mentorship with the RCDC@SIGGRAPH Undergraduate Mentorship Program.
- 2022.09 I successfully passed my mid-term evaluation of the doctoral studies.
- 2022.08 "Hebbian Continual Representation Learning" is accepted in HICSS.
- 2022.07 I was selected as a mentor at Neuromatch Academy for the online Deep Learning course in Pytorch.
- 2022.05 "Diverse Memory for Experience Replay in Continual Learning" is accepted in ESANN and selected for the spotlight presentation.
Contact
e-mail: (public key)
GPG
pub rsa4096 2022-09-18 [SC]
EA8670F4553BA6CD1C8F87A9BC5EC2F8BCE9C8A5
uid [ultimate] Andrii Krutsylo
sub rsa4096 2022-09-18 [E]
GPG
pub rsa4096 2022-09-18 [SC]
EA8670F4553BA6CD1C8F87A9BC5EC2F8BCE9C8A5
uid [ultimate] Andrii Krutsylo
sub rsa4096 2022-09-18 [E]
Security
The authenticity of any (or at least main) page on this website can be verified using GPG:
# import my public key
gpg --keyserver keyserver.ubuntu.com --recv-keys 910e309c330be661
# download path_to_page to verify
wget -q https://krutsylo.neocities.org/index.html
# download signature path_to_page.asc
wget -q https://krutsylo.neocities.org/index.html.asc
# verify
gpg --verify index.html.asc index.html
with expected output:
gpg: Good signature from "Andrii Krutsylo"
# import my public key
gpg --keyserver keyserver.ubuntu.com --recv-keys 910e309c330be661
# download path_to_page to verify
wget -q https://krutsylo.neocities.org/index.html
# download signature path_to_page.asc
wget -q https://krutsylo.neocities.org/index.html.asc
# verify
gpg --verify index.html.asc index.html
with expected output:
gpg: Good signature from "Andrii Krutsylo"
I am using freeTSA.org time stamp authority.
License
All texts, images and animations on website (toplevel directory) for which a separate license is not specified are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.All source code on website (toplevel directory) is supplied as is, without any warranty and is licensed under The GNU General Public License v3.0 unless another license is specified.
Teaching
Publications
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| Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments |
| arXiv |
| Clea Rebillard, Julio Hurtado, Andrii Krutsylo, Lucia Passaro, Vincenzo Lomonaco |
| PDF Short |
 |
| Hebbian Continual Representation Learning |
| HICSS 2022 |
| Paweł Morawiecki, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja |
| PDF Short |
 |
Diverse Memory for Experience Replay in Continual Learning |
| ESANN 2022 (spotlight) |
| Andrii Krutsylo, Paweł Morawiecki |
| PDF Poster |
 |
| Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) |
| AAAI 2021 |
| Maciej Wołczyk, Andrii Krutsylo |