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20202024
most citedFinancial Time Series Forecasting using CNN and Transformer

27 citations · 63 across the 22 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CR2023★ 3 cited

Prime Match: A Privacy-Preserving Inventory Matching System

Antigoni Polychroniadou, Gilad Asharov, Benjamin Diamond +6

Inventory matching is a standard mechanism/auction for trading financial stocks by which buyers and sellers can be paired. In the financial world, banks often undertake the task of…

cs.CL2023

Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test

Saba Rahimi, Tucker Balch, Manuela Veloso

Large language models such as Open AI's Generative Pre-trained Transformer (GPT) models are proficient at answering questions, but their knowledge is confined to the information pr…

cs.LG2023★ 1 cited

Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

Kyle Mana, Fernando Acero, Stephen Mak +4

Discrete optimization belongs to the set of -hard problems, spanning fields such as mixed-integer programming and combinatorial optimization. A current standard appro…

cs.CR2023

Differentially Private Synthetic Data Using KD-Trees

Eleonora Kreačić, Navid Nouri, Vamsi K. Potluru +2

Creation of a synthetic dataset that faithfully represents the data distribution and simultaneously preserves privacy is a major research challenge. Many space partitioning based a…

cs.LG2023★ 27 cited

Financial Time Series Forecasting using CNN and Transformer

Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa +3

Time series forecasting is important across various domains for decision-making. In particular, financial time series such as stock prices can be hard to predict as it is difficult…