7 papers
DMCD: Semantic-Statistical Framework for Causal Discovery
Samarth KaPatel, Sofia Nikiforova, Giacinto Paolo Saggese +1
We present DMCD (DataMap Causal Discovery), a two-phase causal discovery framework that integrates LLM-based semantic drafting from variable metadata with statistical validation on…
Beyond Accuracy: A Stability-Aware Metric for Multi-Horizon Forecasting
Chutian Ma, Grigorii Pomazkin, Giacinto Paolo Saggese +1
Traditional time series forecasting methods optimize for accuracy alone. This objective neglects temporal consistency, in other words, how consistently a model predicts the same fu…
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
Giacinto Paolo Saggese, Paul Smith
We present DataFlow, a computational framework for building, testing, and deploying high-performance machine learning systems on unbounded time-series data. Traditional data scienc…
Causal Inference in Energy Demand Prediction
Chutian Ma, Grigorii Pomazkin, Giacinto Paolo Saggese +1
Energy demand prediction is critical for grid operators, industrial energy consumers, and service providers. Energy demand is influenced by multiple factors, including weather cond…
Runnable Directories: The Solution to the Monorepo vs. Multi-repo Debate
Shayan Ghasemnezhad, Samarth KaPatel, Sofia Nikiforova +3
Modern software systems increasingly strain traditional codebase organization strategies. Monorepos offer consistency but often suffer from scalability issues and tooling complexit…
A Benchmark of Causal vs. Correlation AI for Predictive Maintenance
Shaunak Dhande, Chutian Ma, Giacinto Paolo Saggese +2
Predictive maintenance in manufacturing environments presents a challenging optimization problem characterized by extreme cost asymmetry, where missed failures incur costs roughly…
The effect of latency on optimal order execution policy
Chutian Ma, Giacinto Paolo Saggese, Paul Smith
Market participants regularly send bid and ask quotes to exchange-operated limit order books. This creates an optimization challenge where their potential profit is determined by t…