activity
19982026
most citedSplit attractor flows and the spectrum of BPS D-branes on the Quintic

113 citations · 170 across the 11 of their papers we have counts for

collaborators

12 papers

math.AG2026

K3 atoms of the cubic fourfold and the BPS structure of the Painlevé I determinant line

Mark Raugas

The compatibility of the semiorthogonal decomposition of a cubic fourfold with Bridgeland stability beyond a generic point is the missing ingredient in the conjectured dynamical pr…

hep-th2026

Relating Hodge Atoms, Spectral Triples, and BPS Flows

Mark Raugas

We compare algebraic and analytic pictures relevant to the study of birational invariants. Motivated by recent advances in the development of non-commutative Hodge structures, we e…

cs.LG2025

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics

Herman Chau, Helen Jenne, Davis Brown +4

With recent dramatic increases in AI system capabilities, there has been growing interest in utilizing machine learning for reasoning-heavy, quantitative tasks, particularly mathem…

cs.LG2024

Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes

Jesse He, Helen Jenne, Herman Chau +4

Machine learning is becoming an increasingly valuable tool in mathematics, enabling one to identify subtle patterns across collections of examples so vast that they would be imposs…

cs.DC2022★ 2 cited

MSREP: A Fast yet Light Sparse Matrix Framework for Multi-GPU Systems

Jieyang Chen, Chenhao Xie, Jesun S Firoz +5

Sparse linear algebra kernels play a critical role in numerous applications, covering from exascale scientific simulation to large-scale data analytics. Offloading linear algebra k…

cs.NI2021

SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks

Stephen Young, Sinan Aksoy, Jesun Firoz +5

In recent years, graph theoretic considerations have become increasingly important in the design of HPC interconnection topologies. One approach is to seek optimal or near-optimal…