α
Research
Alpha Leak
Conferences
Topics
Top Authors
Rankings
Browse All
EN
中
Home
/
Authors
/
Mykola Pechenizkiy
Mykola Pechenizkiy
1
Affiliations
Affiliations
TU Eindhoven
14
papers
496
total citations
papers (14)
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
ICML 2024
arXiv
152
citations
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
NEURIPS 2021
arXiv
135
citations
Large Language Models Are Neurosymbolic Reasoners
AAAI 2024
arXiv
41
citations
Dynamic Sparse Network for Time Series Classification: Learning What to “See”
NEURIPS 2022
arXiv
36
citations
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
AAAI 2025
arXiv
30
citations
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
NEURIPS 2023
arXiv
27
citations
Dynamic Sparsity Is Channel-Level Sparsity Learner
NEURIPS 2023
arXiv
26
citations
Where to Pay Attention in Sparse Training for Feature Selection?
NEURIPS 2022
arXiv
23
citations
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
ICLR 2024
arXiv
11
citations
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
ICLR 2025
arXiv
7
citations
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
ICLR 2025
arXiv
5
citations
REOBench: Benchmarking Robustness of Earth Observation Foundation Models
NEURIPS 2025
arXiv
3
citations
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
ICML 2024
arXiv
0
citations
COOM: A Game Benchmark for Continual Reinforcement Learning
NEURIPS 2023
0
citations