Ivan Karpukhin

According to our database, Ivan Karpukhin authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

When Losses Align: Gradient-Based Composite Loss Weighting for Efficient Pretraining.

Ivan Karpukhin, Andrey V. Savchenko

CoRR, May, 2026

HoTPP benchmark: Are we good at the long horizon events forecasting?

Ivan Karpukhin, Foma Shipilov, Andrey V. Savchenko

Neurocomputing, 2026

ESQA: Event Sequences Question Answering.

Irina Abdullaeva, Ivan Karpukhin, Andrei Filatov, Mikhail Orlov, Viacheslav Vasilev, Natalya S. Belova, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko

IEEE Access, 2026

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

Ivan Karpukhin, Andrey V. Savchenko

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Ivan Karpukhin, Andrey V. Savchenko

CoRR, August, 2025

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences.

Dzhambulat Mollaev, Ivan Kireev, Mikhail Orlov, Alexander Kostin, Ivan Karpukhin, Maria Postnova, Gleb Gusev, Andrey V. Savchenko

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Probabilistic embeddings revisited.

Ivan Karpukhin, Stanislav Dereka, Sergey Kolesnikov

Vis. Comput., June, 2024

EXACT: How to train your accuracy.

Ivan Karpukhin, Stanislav Dereka, Sergey Kolesnikov

Pattern Recognit. Lett., 2024

Multimodal Banking Dataset: Understanding Client Needs through Event Sequences.

Dzhambulat Mollaev, Alexander Kostin, Maria Postnova, Ivan Karpukhin, Ivan Kireev, Gleb Gusev, Andrey V. Savchenko

CoRR, 2024

DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction.

Ivan Karpukhin, Andrey V. Savchenko

CoRR, 2024

ESQA: Event Sequences Question Answering.

Irina Abdullaeva, Andrei Filatov, Mikhail Orlov, Ivan Karpukhin, Viacheslav Vasilev, Denis Dimitrov, Andrey Kuznetsov, Ivan Kireev, Andrey V. Savchenko

CoRR, 2024

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy.

Stanislav Dereka, Ivan Karpukhin, Maksim Zhdanov, Sergey Kolesnikov

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Catching Image Retrieval Generalization.

Maksim Zhdanov, Ivan Karpukhin

CoRR, 2023

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy.

Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov

CoRR, 2023

HiFi-VC: High Quality ASR-based Voice Conversion.

Anton Kashkin, Ivan Karpukhin, Svyatoslav Shishkin

Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023

2022

Deep Image Retrieval is not Robust to Label Noise.

Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022