47 citations · 305 across the 34 of their papers we have counts for
34 papers
Forecasting Local Ionospheric Parameters Using Transformers
Daniel J. Alford-Lago, Christopher W. Curtis, Alexander T. Ihler +2
We present a novel method for forecasting key ionospheric parameters using transformer-based neural networks. The model provides accurate forecasts and uncertainty quantification o…
Graph-based Complexity for Causal Effect by Empirical Plug-in
Rina Dechter, Annie Raichev, Alexander Ihler +1
This paper focuses on the computational complexity of computing empirical plug-in estimates for causal effect queries. Given a causal graph and observational data, any identifiable…
Estimating Causal Effects from Learned Causal Networks
Anna Raichev, Alexander Ihler, Jin Tian +1
The standard approach to answering an identifiable causal-effect query (e.g., ) when given a causal diagram and observational data is to first generate an estimand, or p…
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO
Bobak Pezeshki, Radu Marinescu, Alexander Ihler +1
Scientific computing has experienced a surge empowered by advancements in technologies such as neural networks. However, certain important tasks are less amenable to these technolo…
Design Amortization for Bayesian Optimal Experimental Design
Noble Kennamer, Steven Walton, Alexander Ihler
Bayesian optimal experimental design is a sub-field of statistics focused on developing methods to make efficient use of experimental resources. Any potential design is evaluated i…
Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks
Shreyas Devaraju, Alexander Ihler, Sunil Kumar
UAV networks consisting of reduced size, weight, and power (low SWaP) fixed-wing UAVs are used for civilian and military applications such as search and rescue, surveillance, and t…