3 papers
cs.LG2026
Analog Optical Inference on Million-Record Mortgage Data
Sofia Berloff, Pavel Koptev, Konstantin Malkov
Analog optical computers promise large efficiency gains for machine learning inference, yet no demonstration has moved beyond small-scale image benchmarks. We benchmark the analog…
physics.chem-ph2026
KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening
Pavel Koptev, Nikita Krainov, Konstantin Malkov +1
Machine learning models of chemical bioactivity are increasingly used for prioritizing a small number of compounds in virtual screening libraries for experimental follow-up. In the…
cs.AI2026
Predicting Invoice Dilution in Supply Chain Finance with Leakage Free Two Stage XGBoost, KAN (Kolmogorov Arnold Networks), and Ensemble Models
Pavel Koptev, Vishnu Kumar, Konstantin Malkov +2
Invoice or payment dilution is the gap between the approved invoice amount and the actual collection is a significant source of non credit risk and margin loss in supply chain fina…