3 citations · 3 across the 5 of their papers we have counts for
5 papers
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Wei Liu, Anweshit Panda, Ujwal Pandey +6
In this paper, we design two compressed decentralized algorithms for solving nonconvex stochastic optimization under two different scenarios. Both algorithms adopt a momentum techn…
Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events
Stefan Dernbach, Alejandro Michel, Khushbu Agarwal +3
This paper introduces lateral thinking to implement System-2 reasoning capabilities in AI systems, focusing on anticipatory and causal reasoning under uncertainty. We present a fra…
Parallel coarsening of graph data with spectral guarantees
Christopher Brissette, Andy Huang, George Slota
Finding coarse representations of large graphs is an important computational problem in the fields of scientific computing, large scale graph partitioning, and the reduction of geo…
A simple method for improving the accuracy of Chung-Lu random graph generation
Christopher Brissette, George Slota
Random graph models play a central role in network analysis. The Chung-Lu model, which connects nodes based on their expected degrees is of particular interest. It is widely used t…
Heuristic assessment of the economic effects of pandemic control
Xiang Niu, Christopher Brissette, Chunheng Jiang +3
Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, b…