Alexey Shvets

According to our database, Alexey Shvets authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability.

Mikhail L. Arbuzov, Lee Mosbacker, Sisong Bei, Ziwei Dong, Dmitri Kalaev, Alexey Shvets

CoRR, May, 2026

Estimated Dynamic Equilibrium Model: Supply and Demand as a Sample Path of a Stochastic Process.

Mikhail L. Arbuzov, Sisong Bei, Alexey Shvets

CoRR, May, 2026

Talk is (Not) Cheap: A Taxonomy and Benchmark Coverage Audit for LLM Attacks.

Karthik Raghu Iyer, Yazdan Jamshidi, Nicholas Bray, Alexey A. Shvets

CoRR, May, 2026

Telegraph English: Semantic Prompt Compression via Structured Symbolic Rewriting.

Mikhail L. Arbuzov, Sisong Bei, Ziwei Dong, Dmitri Kalaev, Alexey A. Shvets

CoRR, May, 2026

2025

Beyond Exponential Decay: Rethinking Error Accumulation in Large Language Models.

Mikhail L. Arbuzov, Alexey A. Shvets, Sisong Beir

CoRR, May, 2025

2021

TernausNet.

Vladimir I. Iglovikov, Alexey A. Shvets

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2019

2017 Robotic Instrument Segmentation Challenge.

Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

CoRR, 2019

Breast Tumor Cellularity Assessment Using Deep Neural Networks.

Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets, Alexandr A. Kalinin, Vladimir I. Iglovikov, Sergey I. Nikolenko

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Deep Learning Approaches for Understanding Simple Speech Commands.

Roman A. Solovyev, Maxim Vakhrushev, Alexander Radionov, Vladimir Aliev, Alexey A. Shvets

CoRR, 2018

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation.

Vladimir Iglovikov, Alexey Shvets

CoRR, 2018

Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning.

Alexey A. Shvets, Alexander Rakhlin, Alexandr A. Kalinin, Vladimir I. Iglovikov

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks.

Alexey A. Shvets, Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis.

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Feature Pyramid Network for Multi-Class Land Segmentation.

Selim S. Seferbekov, Vladimir Iglovikov, Alexander Buslaev, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

TernausNetV2: Fully Convolutional Network for Instance Segmentation.

Vladimir Iglovikov, Selim S. Seferbekov, Alexander Buslaev, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Fully Convolutional Network for Automatic Road Extraction From Satellite Imagery.

Alexander Buslaev, Selim S. Seferbekov, Vladimir Iglovikov, Alexey Shvets

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks.

Vladimir Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey Shvets

CoRR, 2017