Robert Nowak

Warsaw University of Technology — Poland

Biochemistry, Genetics and Molecular Biology · Life Sciences

28h-index3.6kcitations246works2.02yr avg
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Research Topics

Genomics and Phylogenetic Studies(29), RNA and protein synthesis mechanisms(17), Network Traffic and Congestion Control(16), Algorithms and Data Compression(12), Chromosomal and Genetic Variations(11)

Publications246 total

An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead data
Scientific Reports·2025Open Access
IMProofBench: Benchmarking AI on Research-Level Mathematical Proof Generation
arXiv (Cornell University)·2025Open Access
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model
PLoS ONE·2025Open Access
Direct RNA Oxford Nanopore sequencing distinguishes between modifications in tRNA at the U34 position
International Journal of Biological Macromolecules·2025
BowelRCNN: Region-based Convolutional Neural Network System for Bowel Sound Auscultation
arXiv (Cornell University)·2025Open Access
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit
arXiv (Cornell University)·2025Open Access
Direct RNA Oxford Nanopore sequencing distinguishes between modifications in tRNA at the U <sub>34</sub> position
2024· 1 cited
Optimizing Electrocardiogram Signal Augmentation for Realistic Synthetic Data in Deep Learning Model
2024
Point Cloud Densification Algorithm for Multiple Cameras and Lidars Data Fusion
Sensors·2024· 1 citedOpen Access
Prediction of PCB Field Emissions in Antenna Measurements with an Accelerated Current Reconstruction Method Using Near-Field Data
2024· 2 cited
Quantum computing in bioinformatics: a systematic review mapping
Briefings in Bioinformatics·2024· 33 citedOpen Access
Point Cloud Densification Algorithm for Multiple Cameras and Lidars Data Fusion
Preprints.org·2024Open Access
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
arXiv (Cornell University)·2024Open Access
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
arXiv (Cornell University)·2024Open Access
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
arXiv (Cornell University)·2024· 1 citedOpen Access
Learning from the Best: Active Learning for Wireless Communications
IEEE Wireless Communications·2024· 3 cited
An Empirical Study on the Power of Future Prediction in Partially Observable Environments
arXiv (Cornell University)·2024Open Access
Learning from the Best: Active Learning for Wireless Communications
arXiv (Cornell University)·2024Open Access
Lock-free de Bruijn graph
arXiv (Cornell University)·2024Open Access
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
2024
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Frequent Co-authors

Zhihan Lv(8), Mark Coates(7), Yolanda Tsang(5), Michael Rabbat(4), Kacper Radzikowski(4), Rui Castro(3), Muhammad Farhan Safdar(3), Piotr Pałka(3), Liang Qiao(3), Wiktor Kuśmirek(3), Bin Yu(2), Manik Gadhiok(2), Ryan King(2), Waheed U. Bajwa(2), A.M. Sayeed(2), Le Wang(2), Osamu Yoshie(2), Junxin Chen(2), Jan Krzysztof Nowak(2), Jarosław Walkowiak(2)