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Friedrich Melchior Grimm, Correspondance littéraire

Peter Balazs
2013 Studi francesi  
Friedrich Melchior Grimm, Correspondance littéraire Studi Francesi, 170 (LVII | II) | 2013 L'ouvrage que nous avons à la main est le sixième volume de l'édition critique, publiée sous la direction  ...  l'oeuvre en question et des réflexions philosophiques que Voltaire y avait incluses, il regrette l'absence de l'ordonnance, du plan, de la sagesse et «de ces coups de pinceaux heureux qu'onFriedrich Melchior  ... 
doi:10.4000/studifrancesi.3088 fatcat:vc4ch2udlfba3jywnzchp26poy

Friedrich Melchior Grimm, Correspondance littéraire

Peter Balazs
2013 Studi francesi  
Friedrich Melchior Grimm, Correspondance littéraire Peter Balázs RÉFÉRENCE FRIEDRICH MELCHIOR GRIMM, Correspondance littéraire, tome V, 1758.  ...  Friedrich Melchior Grimm, Correspondance littéraire Studi Francesi, 169 (LVII | I) | 2013 Friedrich Melchior Grimm, Correspondance littéraire Studi Francesi, 169 (LVII | I) | 2013  ... 
doi:10.4000/studifrancesi.3419 fatcat:w4cn3ge7hzexjoo47i6wboptqe

Accelerated Bayesian SED Modeling using Amortized Neural Posterior Estimation [article]

ChangHoon Hahn, Peter Melchior
2022 arXiv   pre-print
Recent works, however, have demonstrated that galaxy spectra can be represented in a compact low-dimensional space using autoencoders (Portillo et al. 2020, Melchior & Hahn, in prep.) .  ... 
arXiv:2203.07391v1 fatcat:zvd54shz3velxeu2ipph53qlpi

Dos and don'ts of reduced chi-squared [article]

Rene Andrae and Tim Schulze-Hartung and Peter Melchior
2010 arXiv   pre-print
Reduced chi-squared is a very popular method for model assessment, model comparison, convergence diagnostic, and error estimation in astronomy. In this manuscript, we discuss the pitfalls involved in using reduced chi-squared. There are two independent problems: (a) The number of degrees of freedom can only be estimated for linear models. Concerning nonlinear models, the number of degrees of freedom is unknown, i.e., it is not possible to compute the value of reduced chi-squared. (b) Due to
more » ... om noise in the data, also the value of reduced chi-squared itself is subject to noise, i.e., the value is uncertain. This uncertainty impairs the usefulness of reduced chi-squared for differentiating between models or assessing convergence of a minimisation procedure. The impact of noise on the value of reduced chi-squared is surprisingly large, in particular for small data sets, which are very common in astrophysical problems. We conclude that reduced chi-squared can only be used with due caution for linear models, whereas it must not be used for nonlinear models at all. Finally, we recommend more sophisticated and reliable methods, which are also applicable to nonlinear models.
arXiv:1012.3754v1 fatcat:525edsb73jexvdeedvm6rx3fv4

Der Streit um Johann Peter Melchior

Heinz Schaubach
1963
Melchiors.  ...  Auch die nächste Tafel 47 ist Melchior.  ... 
doi:10.5169/seals-395072 fatcat:dglstoipa5g5rhiqtsm27ek6jy

Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems [article]

Francois Lanusse, Peter Melchior, Fred Moolekamp
2019 arXiv   pre-print
We propose to address the deblending problem using the analytic model of the scene introduced by Melchior et al. (2018) .  ...  We provide in Appendix A a comparison to the state-of-the-art SCARLET deblender (Melchior et al., 2018) on this scene to highlight the benefits of the deep morphology prior.  ...  Comparison to the SCARLET deblender In this appendix, we compare the proposed method with the baseline deblending algorithm SCARLET, which constitutes a state-of-the-art deblender for ground-based images (Melchior  ... 
arXiv:1912.03980v1 fatcat:rtqnopmnangflntdawsrqseuuy

Distribution Primitives for Distributed User Interfaces [chapter]

Jérémie Melchior, Jean Vanderdonckt, Peter Van Roy
2011 Distributed User Interfaces  
This paper defines a catalog of distribution primitives for Distributed User Interfaces. These primitives are classified into four categories and represents operations that the developers and/or the users can executes to distribute the UI.
doi:10.1007/978-1-4471-2271-5_3 dblp:series/hci/MelchiorVR11 fatcat:mt7zfrobvzg7lgj52ul2gs5m6i

Surgery in Metastatic Testicular Cancer

Peter Albers, Diethild Melchior, Stefan C. Müller
2003 European Urology  
Surgery in advanced testicular tumors is an integral part of the multimodality treatment. However, the indications for surgery in testis cancer have changed over the last 10 years. Patients with advanced seminoma only rarely will need surgery after chemotherapy whereas patients with advanced non-seminoma need to undergo the resection of residual disease in most of the cases. Surgery in metastatic disease may even be beneficial for patients with recurrent tumors, patients with persisting marker
more » ... levations during chemotherapy, or patients with late relapse of the disease. In view of late relapse, the extent and completeness of the primary resection is an important issue and, therefore, surgery should be performed in specialized centers. Most of the procedures are technically demanding and, therefore, individualized perioperative precautions are necessary to reduce morbidity of surgery. Nevertheless, in individual cases nerve-sparing techniques and laparoscopic approaches may be applicable to reduce surgery-related morbidity. This review will update the current indications and recommendations for post-chemotherapy surgery in advanced testis cancer. #
doi:10.1016/s0302-2838(03)00252-5 pmid:12875944 fatcat:xvhmyyrts5aujmzjm6jret7xwq

Vertical reflector for bifacial PV-panels

Michael Linde Jakobsen, Sune Thorsteinsson, Peter Behrensdorff Poulsen, Peter Melchior Rodder, Kristin Rodder
2017 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)  
Bifacial solar modules offer an interesting price/performance ratio, and much work has been focused on directing the ground albedo to the back of the solar cells. In this work we design and develop a reflector for a vertical bifacial panel, with the objective to optimize the energy harvest for the winter. Raytracing modelling is used to simulate the reflector, and initial simplified simulations indicates a significant gain in energy harvest that increase with increasing latitude for the winter.
more » ... The simulations also show energy gain for the summer, however, not as significant as for the winter and the summer gain is almost independent of latitude.
doi:10.1109/pvsc.2017.8366625 fatcat:aq5pa3bl2nhhxcrqnbnxrhgdsm

Vertical reflector for bifacial PV-panels

Michael Linde Jakobsen, Sune Thorsteinsson, Peter Behrensdorff Poulsen, Peter Melchior Rodder, Kristin Rodder
2016 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC)  
Bifacial solar modules offer an interesting price/performance ratio, and much work has been focused on directing the ground albedo to the back of the solar cells. In this work we design and develop a reflector for a vertical bifacial panel, with the objective to optimize the energy harvest for the winter. Raytracing modelling is used to simulate the reflector, and initial simplified simulations indicates a significant gain in energy harvest that increase with increasing latitude for the winter.
more » ... The simulations also show energy gain for the summer, however, not as significant as for the winter and the summer gain is almost independent of latitude.
doi:10.1109/pvsc.2016.7750136 fatcat:3s5v2csbyjg6tdrnwseevo3woa

Joint survey processing: combined resampling and convolution for galaxy modelling and deblending [article]

Rémy Joseph, Peter Melchior, Fred Moolekamp
2021 arXiv   pre-print
We refer to Melchior et al. (in prep.)  ...  Further details on scarlet can be found in Melchior et al. (2018) . Simulations setup The simulations were produced with the galsim package.  ... 
arXiv:2107.06984v1 fatcat:mlxjsj7imfalpirqyoav7m2gfm

Proximal Adam: Robust Adaptive Update Scheme for Constrained Optimization [article]

Peter Melchior, Rémy Joseph, Fred Moolekamp
2020 arXiv   pre-print
Email address: peter.melchior@princeton.edu (Peter Melchior) Proximal and Adaptive Optimization Proximal Gradient Method A well-known and effective approach for solving Equation 1 is a forward-backward  ...  As we have shown (Melchior et al, 2018 , section 2), the Lipschitz constants remain analytic but involve products of block-diagonal representations of A and S with Σ −1 , which require spectral norms  ... 
arXiv:1910.10094v2 fatcat:ys2evquqnvdz7f7zufrimuewna

Improving DUIs with a Decentralized Approach with Transactions and Feedbacks [chapter]

Jérémie Melchior, Boris Mejías, Yves Jaradin, Peter Van Roy, Jean Vanderdonckt
2013 Human–Computer Interaction Series  
When multiple users work collaboratively, coherence is not an easy feature to guarantee. It requires an exclusive access to some part of the User Interface (UI) and needs to give some feedbacks to other users. This synchronization needs a true concurrency control algorithm. One of the most common solution is to use a server as a transactional manager. Unfortunately, a central point of control is also a single point of failure. This paper proposes a decentralized architecture based on a
more » ... eer network providing decentralized transactional support with replicated storage. As a consequence, there is a gain in fault-tolerance and the transactional protocol eliminates the problem of network delay improving the overall usability. The addition of a feedback mechanism allow the users to understand better the behaviour of the system.
doi:10.1007/978-1-4471-5499-0_2 dblp:series/hci/MelchiorMJRV13 fatcat:kbd7sispnja3ngcfd2fgetgw7u

Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy [article]

Tianshu Wang, Peter Melchior
2021 arXiv   pre-print
Resource allocation problems are often approached with linear programming techniques. But many concrete allocation problems in the experimental and observational sciences cannot or should not be expressed in the form of linear objective functions. Even if the objective is linear, its parameters may not be known beforehand because they depend on the results of the experiment for which the allocation is to be determined. To address these challenges, we present a bipartite Graph Neural Network
more » ... itecture for trainable resource allocation strategies. Items of value and constraints form the two sets of graph nodes, which are connected by edges corresponding to possible allocations. The GNN is trained on simulations or past problem occurrences to maximize any user-supplied, scientifically motivated objective function, augmented by an infeasibility penalty. The amount of feasibility violation can be tuned in relation to any available slack in the system. We apply this method to optimize the astronomical target selection strategy for the highly multiplexed Subaru Prime Focus Spectrograph instrument, where it shows superior results to direct gradient descent optimization and extends the capabilities of the currently employed solver which uses linear objective functions. The development of this method enables fast adjustment and deployment of allocation strategies, statistical analyses of allocation patterns, and fully differentiable, science-driven solutions for resource allocation problems.
arXiv:2109.13361v2 fatcat:eoijstzmzvdhfp4boahaxrccyi

Bayesian calibration of firn densification models

Vincent Verjans, Amber A. Leeson, Christopher Nemeth, C. Max Stevens, Peter Kuipers Munneke, Brice Noël, Jan Melchior van Wessem
2020 The Cryosphere  
Abstract. Firn densification modelling is key to understanding ice sheet mass balance, ice sheet surface elevation change, and the age difference between ice and the air in enclosed air bubbles. This has resulted in the development of many firn models, all relying to a certain degree on parameter calibration against observed data. We present a novel Bayesian calibration method for these parameters and apply it to three existing firn models. Using an extensive dataset of firn cores from
more » ... and Antarctica, we reach optimal parameter estimates applicable to both ice sheets. We then use these to simulate firn density and evaluate against independent observations. Our simulations show a significant decrease (24 % and 56 %) in observation–model discrepancy for two models and a smaller increase (15 %) for the third. As opposed to current methods, the Bayesian framework allows for robust uncertainty analysis related to parameter values. Based on our results, we review some inherent model assumptions and demonstrate how firn model choice and uncertainties in parameter values cause spread in key model outputs.
doi:10.5194/tc-14-3017-2020 fatcat:55yyglqzgjglliyfxonznkzi4u
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