activity
20162022
most citedNeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

64 citations · 68 across the 9 of their papers we have counts for

collaborators

10 papers

math.NA2022

High-order linearly implicit schemes conserving quadratic invariants

Shun Sato, Yuto Miyatake, John C. Butcher

In this paper, we propose linearly implicit and arbitrary high-order conservative numerical schemes for ordinary differential equations with a quadratic invariant. Many differentia…

math.OC2021

Existence results on Lagrange multiplier approach for gradient flows and application to optimization

Kenya Onuma, Shun Sato

This paper deals with the geometric numerical integration of gradient flow and its application to optimization. Gradient flows often appear as model equations of various physical p…

math.NA2021★ 1 cited

Scalar auxiliary variable approach for conservative/dissipative partial differential equations with unbounded energy

Tomoya Kemmochi, Shun Sato

In this paper, we present a novel investigation of the so-called SAV approach, which is a framework to construct linearly implicit geometric numerical integrators for partial diffe…

cs.CL2021★ 64 cited

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Sewon Min, Jordan Boyd-Graber, Chris Alberti +50

We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…

math.NA2019

Linearly implicit structure-preserving schemes for Hamiltonian systems

Sølve Eidnes, Lu Li, Shun Sato

Kahan's method and a two-step generalization of the discrete gradient method are both linearly implicit methods that can preserve a modified energy for Hamiltonian systems with a c…

math.NA2018

Linear gradient structures and discrete gradient methods for conservative/dissipative differential-algebraic equations

Shun Sato

In this paper, we consider the use of discrete gradients for differential-algebraic equations (DAEs) with a conservation/dissipation law. As one of the most popular numerical metho…

math.NA2018★ 1 cited

Stability and convergence of a conservative finite difference scheme for the modified Hunter--Saxton equation

Shun Sato

The modified Hunter--Saxton equation models the propagation of short capillary-gravity waves. As it involves a mixed derivative, its initial value problem on the periodic domain is…

cs.DM2017

Making Bidirected Graphs Strongly Connected

Tatsuya Matsuoka, Shun Sato

We consider problems to make a given bidirected graph strongly connected with minimum cardinality of additional signs or additional arcs. For the former problem, we show the minimu…

math.NA2017★ 2 cited

On Spatial Discretization of Evolutionary Differential Equations on the Periodic Domain with a Mixed Derivative

Shun Sato, Takayasu Matsuo

Recently, various evolutionary partial differential equations (PDEs) with a mixed derivative have been emerged and drawn much attention. Nonetheless, their PDE-theoretical and nume…

math.NA2016

A novel discrete variational derivative method using "average-difference methods"

Daisuke Furihata, Shun Sato, Takayasu Matsuo

We consider structure-preserving methods for conservative systems, which rigorously replicate the conservation property yielding better numerical solutions. There, corresponding to…