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ORCIDDmitry Ignatov
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2020 – today
- 2026
[i14]Waleed Khalid, Dmitry Ignatov, Radu Timofte:
From Memorization to Creativity: LLM as a Designer of Novel Neural-Architectures. CoRR abs/2601.02997 (2026)- [i13]Usha Shrestha, Dmitry Ignatov, Radu Timofte:
From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs. CoRR abs/2601.03808 (2026) - [i12]Tolgay Atinc Uzun, Dmitry Ignatov, Radu Timofte:
Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models. CoRR abs/2601.08517 (2026) - 2025
- [i11]Roman Kochnev, Arash Torabi Goodarzi, Zofia Antonina Bentyn, Dmitry Ignatov, Radu Timofte:
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning? CoRR abs/2504.06006 (2025) - [i10]Arash Torabi Goodarzi, Roman Kochnev, Waleed Khalid, Furui Qin, Tolgay Atinc Uzun, Yashkumar Sanjaybhai Dhameliya, Yash Kanubhai Kathiriya, Zofia Antonina Bentyn, Dmitry Ignatov, Radu Timofte:
LEMUR Neural Network Dataset: Towards Seamless AutoML. CoRR abs/2504.10552 (2025) - [i9]Mohamed Gado, Towhid Taliee, Muhammad Memon, Dmitry Ignatov, Radu Timofte:
VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs? CoRR abs/2504.19267 (2025) - [i8]Nada Aboudeshish, Dmitry Ignatov, Radu Timofte:
AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? CoRR abs/2506.07216 (2025) - [i7]Yash Mittal, Dmitry Ignatov, Radu Timofte:
Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis. CoRR abs/2511.07329 (2025) - [i6]Roman Kochnev, Waleed Khalid, Tolgay Atinc Uzun, Xi Zhang, Yashkumar Sanjaybhai Dhameliya, Furui Qin, Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Dmitry Ignatov, Radu Timofte:
NNGPT: Rethinking AutoML with Large Language Models. CoRR abs/2511.20333 (2025) - [i5]Waleed Khalid, Dmitry Ignatov, Radu Timofte:
A Retrieval-Augmented Generation Approach to Extracting Algorithmic Logic from Neural Networks. CoRR abs/2512.04329 (2025) - [i4]Krunal Jesani, Dmitry Ignatov, Radu Timofte:
LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts. CoRR abs/2512.14706 (2025) - [i3]Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Dmitry Ignatov, Radu Timofte:
Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design. CoRR abs/2512.24120 (2025) - 2024
- [c1]Dmitry Ignatov, Andrey Ignatov, Radu Timofte:
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? CVPR Workshops 2024: 6177-6186 - [i2]Dmitry Ignatov, Andrey Ignatov, Radu Timofte:
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? CoRR abs/2404.09469 (2024) - 2020
- [j2]Dmitry Ignatov
, Andrey Ignatov:
Controlling information capacity of binary neural network. Pattern Recognit. Lett. 138: 276-281 (2020) - [i1]Dmitry Ignatov, Andrey Ignatov:
Controlling Information Capacity of Binary Neural Network. CoRR abs/2008.01438 (2020)
2010 – 2019
- 2016
- [j1]Valentin Smirnov, Dmitry Ignatov, Michael Gusev, Mais P. Farkhadov, Natalia Rumyantseva, Mukhabbat Farkhadova:
A Russian Keyword Spotting System Based on Large Vocabulary Continuous Speech Recognition and Linguistic Knowledge. J. Electr. Comput. Eng. 2016: 4062786:1-4062786:9 (2016)
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