Публикации на конференциях A* по тематике искусственного интеллекта
2024
- Dettmers T., Svirschevski R., Egiazarian V., Kuznedelev D., Frantar E., Ashkboos S., Borzunov A., Hoefler T., Alistarh D. SPQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression, in: ICLR 2024. Исходный код
- Bobkov D., Titov V., Alanov A., Vetrov D. The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing, in: CVPR 2024. Исходный код
- Morozov N., Rakitin D., Desheulin O., Vetrov D., Struminsky K. Differentiable Rendering with Reparameterized Volume Sampling, in: AISTATS 2024
- Tiapkin D., Belomestny D., Calandriello D., Moulines E., Munos R., Naumov A., Perrault P., Valko M., Menard P. Demonstration-Regularized RL, in: ICLR 2024
- Leconte L., Jonckheere M., Samsonov S., Moulines E. Queuing dynamics of asynchronous Federated Learning, in: AISTATS 2024
- Tiapkin D., Morozov N., Naumov A., Vetrov D. Generative Flow Networks as Entropy-Regularized RL, in: AISTATS 2024. Исходный код
- Peshekhonov I., Arzhantsev A., Rakhuba M. Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach, in: AISTATS 2024
- Egiazarian V., Panferov A., Kuznedelev D., Frantar E., Babenko A., Alistarh D. Extreme Compression of Large Language Models via Additive Quantization, in: ICML
- Sadrtdinov I., Kodryan M., Pokonechny E., Lobacheva E., Vetrov D. Where Do Large Learning Rates Lead Us? A Feature Learning Perspective, in: ICML
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Galitsky B., Chernyavskiy A., Ilvovsky D. Truth-O-Meter: Handling Multiple Inconsistent Sources Repairing LLM Hallucinations, in: SIGIR '24
2023
- Puchkin N., Shcherbakova V. A Contrastive Approach to Online Change Point Detection, in: AISTATS 2023. Исходный код
- Kodryan M., Kropotov D., Vetrov D. MARS: Masked Automatic Ranks Selection in Tensor Decompositions, in: AISTATS 2023. Исходный код
- Rofin M., Mikhailov V., Florinskiy M., Kravchenko A., Tutubalina E., Shavrina T., Karabekyan D., Artemova E. VOTE’N’RANK: Revision of Benchmarking with Social Choice Theory, in: EACL 2023 (ACL). Исходный код
- Platonov O., Kuznedelev D., Diskin M., Babenko A., Prokhorenkova L. A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress? in: ICLR 2023. Исходный код
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Tiapkin D., Belomestny D., Calandriello D., Moulines E., Munos R., Naumov A., Perrault P., Tang Y., Valko M., Menard P. Fast Rates for Maximum Entropy Exploration in: ICML 2023. Исходный код
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Andreev P., Babaev N., Saginbaev A., Shchekotov I. Iterative autoregression: a novel trick to improve your low-latency speech enhancement model in: Interspeech 2023
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Iashchenko A., Andreev P., Shchekotov I., Babaev N., Vetrov D. UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model in: Interspeech 2023. Исходный код
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Kondratenko V., Sokolov A., Karpov N., Kutuzov O., Savushkin N., Minkin F. Hybrid Dataset for Speech Emotion Recognition in Russian Language in: Interspeech 2023
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Alanov A., Titov V., Nakhodnov M., Vetrov D. StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation in: ICCV 2023. Исходный код
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Sadrtdinov I., Pozdeev D., Vetrov D., Lobacheva E. To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning, in: NeurIPS 2023. Исходный код
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Okhotin A., Molchanov D., Arkhipkin V., Bartosh G., Ohanesian V., Alanov A., Vetrov D. Star-Shaped Denoising Diffusion Probabilistic Models, in: NeurIPS 2023. Исходный код
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Tiapkin D., Belomestny D., Calandriello D., Moulines E., Munos R., Naumov A., Perrault R., Valko M., Menard P. Model-free Posterior Sampling via Learning Rate Randomization, in: NeurIPS 2023
2021-2022
- Durmus A., Moulines E., Naumov A., Samsonov S., Scaman K., Wai H. Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize, in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
- Tiapkin D., Gasnikov A. Primal-Dual Stochastic Mirror Descent for MDPs, in: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)
- Shchekotov I., Andreev P., Ivanov O., Alanov A., Vetrov D. FFC-SE: Fast Fourier Convolution for Speech Enhancement, in: Interspeech 2022. Исходный код
- Surkov M., Mosin V., Yamshchikov I. Do Data-based Curricula Work? // Proceedings of the Second Workshop on Insights from Negative Results in NLP, in: Annual Meeting of the Association for Computational Linguistics 2022
- Senderovich A., Bulatova E., Obukhov A., Rakhuba M. Towards Practical Control of Singular Values of Convolutional Layers, in: NeurIPS 2022. Исходный код
- Kodryan M., Lobacheva E., Nakhodnov M., Vetrov D. Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes, in: NeurIPS 2022. Исходный код
- Alanov A., Titov V., Vetrov D. HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks, in: NeurIPS 2022. Исходный код
- Mikhailov V., Shamardina T., Ryabinin M., Pestova A., Smurov I., Artemova E. RuCoLA: Russian Corpus of Linguistic Acceptability, in: EMNLP 2022 - Conference on Empirical Methods in Natural Language Processing. Исходный код
Статьи Q1 WOS/SCOPUS по тематике искусственного интеллекта
2024
- Puchkin N., Samsonov S., Belomestny D., Moulines E., Naumov A. Rates of convergence for density estimation with generative adversarial networks, in: Journal of Machine Learning Research
- Zinchenko S., Lishudi D. Star Algorithm for Neural Network Ensembling, in: Neural Networks. Исходный код
- Savchenko A. V. AutoFace: How to Obtain Mobile Neural Network-Based Facial Feature Extractor in Less Than 10 Minutes? in: IEEE Access. Исходный код
- Puchkin N., Spokoiny V., Stepanov E., Trevisan D. Reconstruction of manifold embeddings into Euclidean spaces via intrinsic distances, in: ESAIM: COC
- Belomestny D., Goldman A., Naumov A., Samsonov S. Theoretical guarantees for neural control variates in MCMC, in: Mathematics and Computers in Simulation
- Omrani H., Emrouznejad A., Teplova T., Amini M. Efficiency evaluation of electricity distribution companies: Integrating data envelopment analysis and machine learning for a holistic analysis, in: Engineering Applications of Artificial Intelligence
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Shalileh S., Kairov M., Baminiwatte R., Parshina O., Dragoy O. Predicting First-Language and Second-Language Proficiency Using Eye Fixation Data and Demographic Information: Assumptions, Data Representations and Methods, in: IEEE Access
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Trofimova E., Sataev E., Ustyuzhanin A. Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines, in: PeerJ
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Zhivtsova A., Beschastnyi V., Koucheryavy E., Samouylov K. A Survey of Delay-Oriented Dynamic Link Scheduling Policies for 5G/6G Integrated Access and Backhaul Systems, in: IEEE Access
2023
- Mosin V., Samenko I., Kozlovskii B., Tikhonov A., Yamshchikov I.P. Fine-tuning transformers: Vocabulary transfer, in: Artificial Intelligence. Исходный код
- Poptsova М., Latyshev P., Pavlov F., Herbert A. Unsupervised Domain Adaptation Methods for Cross-Species Transfer of Regulatory Code Signals, in: Frontiers in Big Data
- Umerenkov D., Herbert A., Konovalov D., Danilova A., Beknazarov N., Kokh V., Fedorov A., Poptsova M. Z-flipon variants reveal the many roles of Z-DNA and Z-RNA in health and disease, in: Life Science Alliance Исходный код
- Drozdova A., Trofimova E., Guseva P., Scherbakova A., Ustyuzhanin A. Code4ML: a large-scale dataset of annotated Machine Learning code, in: PeerJ Computer Science
- Popov S., Lazarev M., Belavin V., Derkach D., Andrey Ustyuzhanin A. Symbolic expression generation via variational auto-encoder, in: PeerJ Computer Science
- Götze F., Tikhomirov A. On the largest and the smallest singular value of sparse rectangular random matrices, in: Electronic Journal of Probability
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Savchenko A. V., Savchenko L. V., Makarov I. Fast Search of Face Recognition Model for a Mobile Device based on Neural Architecture Comparator in: IEEE Access. Исходный код
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Khayrov E., Koucheryavy Y. Packet Level Performance of 5G NR System Under Blockage and Micromobility Impairments in: IEEE Access
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Zinchenko S., Lishudi D. Star Algorithm for Neural Network Ensembling, in: Neural Networks. Исходный код
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Shalileh S., Ignatov D., Lopukhina A., Dragoy O. Identifying Dyslexia in School Pupils from Eye Movement and Demographic Data Using Artificial Intelligence, in: PLOS ONE
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Berezovskiy V., Gorodilova A., Trofimova E., Ustyuzhanin A. Machine learning code snippets semantic classification, in: PeerJ Computer Science. Исходный код
2021-2022
- Elin K., Malyutina S., Bronov O., Stupina E., Marinets A., Zhuravleva A., Dragoy O. A New Functional Magnetic Resonance Imaging Localizer for Preoperative Language Mapping Using a Sentence Completion Task: Validity, Choice of Baseline Condition, and Test–Retest Reliability, in: Frontiers in Human Neuroscience
- Belomestny D., Moulines E., Samsonov S. Variance reduction for additive functional of Markov chains via martingale representations, in: Statistics and Computing
- Belomestny D., Hübner T., Krätschmer V. Solving optimal stopping problems under model uncertainty via empirical dual optimisation, in: Finance and Stochastics
- Savchenko A., Savchenko L., Makarov I. Classifying emotions and engagement in online learning based on a single facial expression recognition neural network, in: IEEE Transactions on Affective Computing. Исходный код
- Karpychev V., Balatskaya A., Utyashev N., Pedyash N., Zuev A., Dragoy O., Fedele T. Epileptogenic high-frequency oscillations present larger amplitude both in mesial temporal and neocortical regions, in: Frontiers in Human Neuroscience
- Belomestny D., Naumov A., Puchkin N., Samsonov S. Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations, in: Neural Networks
- Teplova T., Tomtosov A., Sokolova T. A retail investor in a cobweb of social networks, in: Plos One
- Mosin V., Samenko I., Kozlovskii B., Tikhonov A., Yamshchikov I. Fine-tuning transformers: Vocabulary transfer, in: Artificial Intelligence. Исходный код