Results 11 to 20 of about 11,396,313 (81)
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models [PDF]
International Conference on Learning Representations, 2022 Chain-of-thought prompting has demonstrated remarkable performance on various natural language reasoning tasks. However, it tends to perform poorly on tasks which requires solving problems harder than the exemplars shown in the prompts.
Denny Zhou +9 more
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Physics-informed neural networks (PINNs) for fluid mechanics: a review [PDF]
Acta Mechanica Sinica, 2021 Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier–Stokes equations (NSE), we still cannot incorporate seamlessly noisy data into existing algorithms, mesh-generation is ...
Shengze Cai +4 more
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Barren plateaus in quantum neural network training landscapes [PDF]
Nature Communications, 2018 Many experimental proposals for noisy intermediate scale quantum devices involve training a parameterized quantum circuit with a classical optimization loop.
J. McClean +4 more
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Computational Optimal Transport [PDF]
Found. Trends Mach. Learn., 2018 Optimal transport (OT) theory can be informally described using the words of the French mathematician Gaspard Monge (1746-1818): A worker with a shovel in hand has to move a large pile of sand lying on a construction site.
G. Peyré, Marco Cuturi
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Legemiddelinteraksjoner hos sykehuspasienter – forekomst og klinisk betydning
, 2009 Legemiddelinteraksjoner er viktig a identifisere fordi de kan gi bade bivirkninger og endret medikamenteffekt, samt medfore sykelighet og dod. Malet med studien var a undersoke forekomsten av legemiddelinteraksjoner hos sykehuspasienter, samt a vurdere ...
Hege Salvesen Blix +2 more
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Kjønnsforskjeller i forekomst av legemiddelrelaterte bivirkninger
, 2009 SAMMENDRAG Kvinnelig kjonn er blitt identifisert som risikofaktor for legemiddelrelaterte bivirkninger bade i primaerhelsetjenesten og under sykehusopphold. Hyppigere forekomst av bivirkninger kan forklares delvis, men ikke fullstendig, av at kvinner som
Hedvig Nordeng
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Fractional Programming for Communication Systems—Part I: Power Control and Beamforming [PDF]
IEEE Transactions on Signal Processing, 2018 Fractional programming (FP) refers to a family of optimization problems that involve ratio term(s). This two-part paper explores the use of FP in the design and optimization of communication systems.
Kaiming Shen, Wei Yu
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Advances in Metaheuristic Algorithms for Optimal Design of Structures, 2019 Gerhard Venter (gventer_vrand.conl) *Vanderpla(ds Research and Development, bit.1767 S 8th St'reef. Suite 100, Colorado Springs. CO 80906Jaroslaw Sobieszczanski-Sobieski (j.sobieski:_larc.nasa.gov) *A_4SA Lcmgley Research Ce,_terMS 240, Hampton, I:4 ...
Gerhard Venter +1 more
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Deep Reinforcement Learning: A Brief Survey [PDF]
IEEE Signal Processing Magazine, 2017 Deep reinforcement learning (DRL) is poised to revolutionize the field of artificial intelligence (AI) and represents a step toward building autonomous systems with a higherlevel understanding of the visual world.
Kai Arulkumaran +3 more
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OSQP: an operator splitting solver for quadratic programs [PDF]
Mathematical Programming Computation, 2017 We present a general-purpose solver for convex quadratic programs based on the alternating direction method of multipliers, employing a novel operator splitting technique that requires the solution of a quasi-definite linear system with the same ...
Bartolomeo Stellato +4 more
semanticscholar +1 more source