Yeskendir Koishekenov

According to our database, Yeskendir Koishekenov authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Verifying Chain-of-Thought Reasoning via Its Computational Graph.

Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang, Naila Murray, Nicola Cancedda

CoRR, October, 2025

Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts.

Yeskendir Koishekenov, Aldo Lipani, Nicola Cancedda

CoRR, October, 2025

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations.

Ziwei Ji, Lei Yu, Yeskendir Koishekenov, Yejin Bang, Anthony Hartshorn, Alan Schelten, Cheng Zhang, Pascale Fung, Nicola Cancedda

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

An Exploration of Conditioning Methods in Graph Neural Networks.

Yeskendir Koishekenov, Erik J. Bekkers

CoRR, 2023

Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings.

Yeskendir Koishekenov

CoRR, 2023

Geometric Contrastive Learning.

Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model.

Yeskendir Koishekenov, Alexandre Berard, Vassilina Nikoulina

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

CoRR, 2020

AIM 2020 Challenge on Learned Image Signal Processing Pipeline.

Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020