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检索条件"机构=AI Foundation and Algorithm Lab"
18 条 记 录,以下是1-10 订阅
排序:
A Modular Conditional Diffusion Framework for Image Reconstruction  38
A Modular Conditional Diffusion Framework for Image Reconstr...
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Zhussip, Magauiya Koshelev, Iaroslav Lefkimmiatis, Stamatis MTS AI United States AI Foundation and Algorithm Lab United States
Diffusion Probabilistic Models (DPMs) have been recently utilized to deal with various blind image restoration (IR) tasks, where they have demonstrated outstanding performance in terms of perceptual quality. However, ...
来源: 评论
A Modular Conditional Diffusion Framework for Image Reconstruction
arXiv
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arXiv 2024年
作者: Zhussip, Magauiya Koshelev, Iaroslav Lefkimmiatis, Stamatis MTS AI AI Foundation and Algorithm Lab
Diffusion Probabilistic Models (DPMs) have been recently utilized to deal with various blind image restoration (IR) tasks, where they have demonstrated outstanding performance in terms of perceptual quality. However, ... 详细信息
来源: 评论
Robust Two-View Geometry Estimation with Implicit Differentiation
arXiv
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arXiv 2024年
作者: Pyatov, Vladislav Koshelev, Iaroslav Lefkimmiatis, Stamatios Center for AI Technology Russia AI Foundation and Algorithm Lab Russia MTS AI Group Russia
We present a novel two-view geometry estimation framework which is based on a differentiable robust loss function fitting. We propose to treat the robust fundamental matrix estimation as an implicit layer, which allow... 详细信息
来源: 评论
A3D: DOES DIFFUSION DREAM ABOUT 3D ALIGNMENT?
arXiv
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arXiv 2024年
作者: Ignatyev, Savva Konovalova, Nina Selikhanovych, Daniil Voynov, Oleg Patakin, Nikolay Olkov, Ilya Senushkin, Dmitry Artemov, Alexey Konushin, Anton Filippov, Alexander Wonka, Peter Burnaev, Evgeny Skoltech Russia AIRI Russia Medida AI Israel AI Foundation and Algorithm Lab Russia KAUST Saudi Arabia
We tackle the problem of text-driven 3D generation from a geometry alignment perspective. Given a set of text prompts, we aim to generate a collection of objects with semantically corresponding parts aligned across th... 详细信息
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Robust Two-View Geometry Estimation with Implicit Differentiation
Robust Two-View Geometry Estimation with Implicit Differenti...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Vladislav Pyatov Iaroslav Koshelev Stamatios Lefkimmiatis Skolkovo Institute of Science and Technology (Skoltech) Center for AI Technology Russia AI Foundation and Algorithm Lab Russia MTS AI Group Russia
We present a novel two-view geometry estimation framework which is based on a differentiable robust loss function fitting. We propose to treat the robust fundamental matrix estimation as an implicit layer, which allow... 详细信息
来源: 评论
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
arXiv
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arXiv 2025年
作者: Tulchinskii, Eduard Voronkova, Daria Trofimov, Ilya Burnaev, Evgeny Barannikov, Serguei Skoltech AI Foundation and Algorithm Lab Russia Skoltech AIRI Russia Skoltech Russia Skoltech CNRS Russia
Topological methods for comparing weighted graphs are valuable in various learning tasks but often suffer from computational inefficiency on large datasets. We introduce RTD-Lite, a scalable algorithm that efficiently... 详细信息
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Quantifying Logical Consistency in Transformers via Query-Key Alignment
arXiv
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arXiv 2025年
作者: Tulchinskii, Eduard Voznyuk, Anastasia Kushnareva, Laida Andriiainen, Andrei Piontkovskaya, Irina Burnaev, Evgeny Barannikov, Serguei Skolkovo Institute of Science and Technology Russia AI Foundation Algorithm Lab Moscow Institute of Physics and Technology Russia CNRS Université Paris Cité France
Large language models (LLMs) have demonstrated impressive performance in various natural language processing tasks, yet their ability to perform multi-step logical reasoning remains an open challenge. Although Chain-o... 详细信息
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NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion
arXiv
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arXiv 2023年
作者: Ignatyev, Savva Selikhanovych, Daniil Voynov, Oleg Wang, Yiqun Wonka, Peter Lefkimmiatis, Stamatios Burnaev, Evgeny Skoltech Russia AIRI Russia Chongqing University China KAUST Saudi Arabia AI Foundation and Algorithm Lab Russia
We present a novel method for 3D surface reconstruction from multiple images where only a part of the object of interest is captured. Our approach builds on two recent developments: surface reconstruction using neural... 详细信息
来源: 评论
Robust ai-Generated Text Detection by Restricted Embeddings
Robust AI-Generated Text Detection by Restricted Embeddings
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Kuznetsov, Kristian Tulchinskii, Eduard Kushnareva, Laida Magai, German Barannikov, Serguei Nikolenko, Sergey Piontkovskaya, Irina AI Foundation and Algorithm Lab Russia HSE University Russia Noeon Research Japan Skolkovo Institute of Science and Technology Russia CNRS Université Paris Cité France ISP RAS Research Center for Trusted Artificial Intelligence Moscow Russia St. Petersburg Department The Steklov Institute of Mathematics Russia
Growing amount and quality of ai-generated texts makes detecting such content more difficult. In most real-world scenarios, the domain (style and topic) of generated data and the generator model are not known in advan... 详细信息
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LISTENING TO THE WISE FEW: SELECT-AND-COPY ATTENTION HEADS FOR MULTIPLE-CHOICE QA
arXiv
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arXiv 2024年
作者: Tulchinskii, Eduard Kushnareva, Laida Kuznetsov, Kristian Voznyuk, Anastasia Andriiainen, Andrei Piontkovskaya, Irina Burnaev, Evgeny Barannikov, Serguei Skolkovo Institute of Science and Technology Russia AI Foundation and Algorithm Lab Moscow Institute of Physics and Technology Russia CNRS Université Paris Cité France
A standard way to evaluate the abilities of LLM involves presenting a multiple-choice question and selecting the option with the highest logit as the model’s predicted answer. However, such a format for evaluating LL... 详细信息
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