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Ivan Karpukhin

2 accepted papers

2026

Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching

AAAI 2026technical

Long-horizon events forecasting is a crucial task across various domains, including retail, finance, healthcare, and social networks. Traditional models for event sequences often extend to forecasting on horizon using an autoregressive (recursive) multi-step strategy, which has limited effectiveness

Cited by 0SourcePDFScholar
2026

HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens

IJCAI 2026

Deep learning has achieved strong results in modeling sequential data, including event sequences, temporal point processes, and irregular time series. Recently, transformers have largely replaced recurrent networks in these tasks. However, transformers often underperform recurrent networks in classi

Cited by 0Scholar