Vadim Liventsev

14 papers A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fully Autonomous Programming Using Iterative Multi-Agent Debugging with Large Language Models.
ACM Trans. Evol. Learn. Optim.
Anastasiia Grishina, Vadim Liventsev, Aki Härmä, Leon Moonen
2025 J jnl
Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models.
CoRR
Anastasiia Grishina, Vadim Liventsev, Aki Härmä, Leon Moonen
2025 J jnl
Tree Variational Autoencoder for Code.
IEEE Access
Vadim Liventsev, Sander de Bruin, Aki Härmä, Milan Petkovic
2024 J jnl
Intensive Care as One Big Sequence Modeling Problem.
CoRR
Vadim Liventsev, Tobias Fritz
2024 J jnl
PhilHumans: Benchmarking Machine Learning for Personal Health.
CoRR
Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Balloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling
2023 A conf
Fully Autonomous Programming with Large Language Models.
GECCO
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen
2023 J jnl
Fully Autonomous Programming with Large Language Models.
CoRR
Vadim Liventsev, Anastasiia Grishina, Aki Härmä, Leon Moonen
2021 J jnl
Autoencoders as Tools for Program Synthesis.
CoRR
Sander de Bruin, Vadim Liventsev, Milan Petkovic
2021 J jnl
BF++: a language for general-purpose neural program synthesis.
CoRR
Vadim Liventsev, Aki Härmä, Milan Petkovic
2021 J jnl
Neurogenetic Programming Framework for Explainable Reinforcement Learning.
CoRR
Vadim Liventsev, Aki Härmä, Milan Petkovic
2021 — conf
Neurogenetic programming framework for explainable reinforcement learning.
GECCO Companion
Vadim Liventsev, Aki Härmä, Milan Petkovic
2021 J jnl
Towards Effective Patient Simulators.
Frontiers Artif. Intell.
Vadim Liventsev, Aki Härmä, Milan Petkovic
2019 — conf
Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts.
BIBM
Artem Shelmanov, Vadim Liventsev, Danil Kireev, Nikita Khromov, Alexander Panchenko, Irina Fedulova, Dmitry V. Dylov
2019 — conf
Deep Text Prior: Weakly Supervised Learning for Assertion Classification.
ICANN (Workshop)
Vadim Liventsev, Irina Fedulova, Dmitry V. Dylov