JPMorgan Chase & Co.

∙ New York , United States ∙ 0 followers

JP Morgan Chase & Co. is an American multinational investment bank and financial services company headquartered in New York City.

research

∙ 12/09/2019

Grouped sparse projection

As evident from deep learning, very large models bring improvements in t...

Nicolas Gillis, et al. ∙

research

∙ 11/05/2021

DeSkew-LSH based Code-to-Code Recommendation Engine

Machine learning on source code (MLOnCode) is a popular research field t...

Fran Silavong, et al. ∙

research

∙ 09/19/2021

A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling

Organizations around the world face an array of risks impacting their op...

Mahmoud Mahfouz, et al. ∙

research

∙ 12/09/2019

Adversarial recovery of agent rewards from latent spaces of the limit order book

Inverse reinforcement learning has proved its ability to explain state-a...

Jacobo Roa-Vicens, et al. ∙

research

∙ 01/30/2020

Adversarial Code Learning for Image Generation

We introduce the "adversarial code learning" (ACL) module that improves ...

Jiangbo Yuan, et al. ∙

research

∙ 08/11/2021

Seven challenges for harmonizing explainability requirements

Regulators have signalled an interest in adopting explainable AI(XAI) te...

Jiahao Chen, et al. ∙

research

∙ 08/11/2021

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

We review practical challenges in building and deploying ethical AI at t...

Jiahao Chen, et al. ∙

research

∙ 10/05/2021

SeanNet: Semantic Understanding Network for Localization Under Object Dynamics

We aim for domestic robots to operate indoor for long-term service. Unde...

Xiao Li, et al. ∙

research

∙ 12/03/2018

Sensitivity based Neural Networks Explanations

Although neural networks can achieve very high predictive performance on...

Enguerrand Horel, et al. ∙

research

∙ 07/18/2019

An AI-based, Multi-stage detection system of banking botnets

Banking Trojans, botnets are primary drivers of financially-motivated cy...

Li Ling, et al. ∙

research

∙ 09/29/2019

Explainable Clustering and Application to Wealth Management Compliance

Many applications from the financial industry successfully leverage clus...

Enguerrand Horel, et al. ∙

research

∙ 10/09/2019

Model-based Reinforcement Learning for Predictions and Control for Limit Order Books

We build a profitable electronic trading agent with Reinforcement Learni...

Haoran Wei, et al. ∙

research

∙ 04/07/2020

Model-Agnostic Characterization of Fairness Trade-offs

There exist several inherent trade-offs in designing a fair model, such ...

Joon Sik Kim, et al. ∙

research

∙ 07/20/2021

Similarity metrics for Different Market Scenarios in Abides

Markov Decision Processes (MDPs) are an effective way to formally descri...

Diego Pino, et al. ∙

research

∙ 10/18/2021

Probabilistic Inference in Planning for Partially Observable Long Horizon Problems

For autonomous service robots to successfully perform long horizon tasks...

Alphonsus Adu-Bredu, et al. ∙

research

∙ 10/29/2021

Profit equitably: An investigation of market maker's impact on equitable outcomes

We look at discovering the impact of market microstructure on equitabili...

Kshama Dwarakanath, et al. ∙

research

∙ 12/03/2021

Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization

Multi-agent market simulation is commonly used to create an environment ...

Yuanlu Bai, et al. ∙

JPMorgan Chase & Co.

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Victor Storchan

Mahmoud Mahfouz

Sean Moran

Yuanbo Wang

Grouped sparse projection

DeSkew-LSH based Code-to-Code Recommendation Engine

A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling

Adversarial recovery of agent rewards from latent spaces of the limit order book

Adversarial Code Learning for Image Generation

Seven challenges for harmonizing explainability requirements

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

SeanNet: Semantic Understanding Network for Localization Under Object Dynamics

Sensitivity based Neural Networks Explanations

An AI-based, Multi-stage detection system of banking botnets

Explainable Clustering and Application to Wealth Management Compliance

Model-based Reinforcement Learning for Predictions and Control for Limit Order Books

Model-Agnostic Characterization of Fairness Trade-offs

Similarity metrics for Different Market Scenarios in Abides

Probabilistic Inference in Planning for Partially Observable Long Horizon Problems

Profit equitably: An investigation of market maker's impact on equitable outcomes

Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization