Publications in Math-Net.Ru
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Theoretically justified contrastive self-supervised methods for continuous dependent data
Dokl. RAN. Math. Inf. Proc. Upr., 527 (2025), 192–205
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When an LLM is apprehensive about its answers – and when its uncertainty is justified
Zap. Nauchn. Sem. POMI, 546 (2025), 105–124
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Hiding backdoors within event sequence data via poisoning attacks
Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024), 325–336
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Universal representations for well-logging data via ensembling of self-supervised models
Dokl. RAN. Math. Inf. Proc. Upr., 520:2 (2024), 141–153
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No two users are alike: Generating audiences with neural clustering for temporal point processes
Dokl. RAN. Math. Inf. Proc. Upr., 514:2 (2023), 395–416
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Fundamental research and developments in the field of applied artificial intelligence
Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 19–27
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