1.2k citations
- Harvard UniversityUS94 papers
- Seoul National UniversityKR37 papers
- University of California, BerkeleyUS36 papers
- Department of Mathematical SciencesRU22 papers
- Massachusetts Institute of TechnologyUS19 papers
- California Institute of TechnologyUS18 papers
- Tsinghua UniversityCN17 papers
- Kyoto UniversityJP15 papers
- University of California San DiegoUS14 papers
- Harvard University PressUS12 papers
- Korea Institute for Advanced StudyKR11 papers
- University of Illinois ChicagoUS11 papers
430 papers
Proof of the Density Threshold Conjecture for Pinwheel Scheduling
Akitoshi Kawamura
In the pinwheel scheduling problem, each task is associated with a positive integer called its period, and we want to (perpetually) schedule one task per day so that each…
Gravitational radiation reaction for compact binary systems at the fourth-and-a-half post-Newtonian order in harmonic coordinates
Luc Blanchet, Guillaume Faye, Emeric Seraille +1
We derive the gravitational radiation-reaction (RR) force in the harmonic coordinate system at the fourth-and-a-half post-Newtonian (4.5PN) order in the case of compact binary syst…
Computational Caustic Design for Surface Light Source
Sizhuo Zhou, Yuou Sun, Bailin Deng +1
Designing freeform surfaces to control light based on real-world illumination patterns is challenging, as existing caustic lens designs often assume oversimplified point or paralle…
Quivers and BPS states in 3d and 4d
Piotr Kucharski, Pietro Longhi, Dmitry Noshchenko +2
We propose a symmetrization relation between BPS quivers encoding 4d theories and symmetric quivers associated to 3d theories. We analyse in detail…
Bayesian preference elicitation for decision support in multiobjective optimization
Felix Huber, Sebastian Rojas Gonzalez, Raul Astudillo
We present a novel approach to help decision-makers efficiently identify preferred solutions from the Pareto set of a multi-objective optimization problem. Our method uses a Bayesi…
A statistical physics framework for optimal learning
Francesca Mignacco, Francesco Mori
Learning is a complex dynamical process shaped by a range of interconnected decisions. Careful design of hyperparameter schedules for artificial neural networks or efficient alloca…