2 citations · 4 across the 7 of their papers we have counts for
7 papers
Domain Generalization with Small Data
Kecheng Chen, Elena Gal, Hong Yan +1
In this work, we propose to tackle the problem of domain generalization in the context of \textit{insufficient samples}. Instead of extracting latent feature embeddings based on de…
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
Elena Gal, Shaun Singh, Aldo Pacchiano +3
In many real world settings binary classification decisions are made based on limited data in near real-time, e.g. when assessing a loan application. We focus on a class of these p…
Higher Segal spaces and Lax -algebras
Adam Gal, Elena Gal
The notion of a higher Segal space was introduced by Dyckerhoff and Kapranov as a general framework for studying higher associativity inherent in a wide range of mathematical objec…
Hall categories and KLR categorification
Adam Gal, Elena Gal, Kobi Kremnizer
This paper is the first step in the project of categorifying the bialgebra structure on the half of quantum group by using geometry and Hall algebras. We equi…
Hopf categories and the categorification of the Heisenberg algebra via graphical calculus
Elena Gal
We explore the connection between the notion of Hopf category and the categorification of the infinite dimensional Heisenberg algebra via graphical calculus proposed by M.Khovanov.…
A geometric approach to Hall algebras I: Higher Associativity
Adam Gal, Elena Gal
We construct a geometric system from which the Hall algebra can be recovered. This system inherently satisfies higher associativity conditions and thus leads to a categorification…
Symmetric self-adjoint Hopf categories and a categorical Heisenberg double
Adam Gal, Elena Gal
Motivated by the work of of A. Zelevinsky on positive self-adjoint Hopf algebras, we define what we call a symmetric self-adjoint Hopf structure for a certain kind of semisimple ab…