Publications related to Bona Fide Riesz Projections For Density Estimation

Related publications (23)

Scalable kernel logistic regression with Nyström approximation: Theoretical analysis and application to discrete choice modelling

The application of kernel-based Machine Learning (ML) techniques to discrete choice modelling using large datasets often faces challenges due to memory requirements and the considerable number of parameters involved in these models. This complexity hampers ...

2025

Robust Optimization for Product Line Design

Jun Han

In order to extract maximum surplus from a heterogeneous customer base it is common practice for firms to offer a portfolio of differentiated products, from which consumers of different preferences can select their favorite items. The standard model of pro ...

EPFL2025

The effect of hydration and dynamics on the mass density of single proteins

Lucas Sebastian Powell-Rudden

The density of a protein molecule is a key property within a variety of experimental techniques. We present a computational method for determining protein mass density that explicitly incorporates hydration effects. Our approach uses molecular dynamics sim ...

2025

Inner Approximation of Polytopes for Near-Real Time Available Transfer Capacity Optimization

Dawn Maria Virginillo

Recent trends in market liberalization and increasing congestion in the European interconnected grid have motivated study of market parameters provided close to real-time. In this paper, we present a method to compute the available transfer capacities betw ...

Institute of Electrical and Electronics Engineers Inc.2024

Resampling estimation of discrete choice models

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Nicola Marco Ortelli

In the context of discrete choice modeling, the extraction of potential behavioral insights from large datasets is often limited by the poor scalability of maximum likelihood estimation. This paper proposes a simple and fast dataset-reduction method that i ...

2024

MCMC: Bridging Rendering, Optimization and Generative AI

Wenzel Alban Jakob

Generative artificial intelligence (AI) has made unprecedented advances in vision language models over the past two years. These advances are largely due to diffusion-based generative models, which are very stable and simple to train. These diffusion model ...

Association for Computing Machinery, Inc2024

Current Status of PRP Manufacturing Requirements & European Regulatory Frameworks: Practical Tools for the Appropriate Implementation of PRP Therapies in Musculoskeletal Regenerative Medicine

Philippe Abdel Sayed

Providing accurate and up-to-date practical tools enabling oversight of platelet-rich plasma (PRP) legislation and of the appropriate standards to be implemented for its manufacture and use in Europe is a demanding task. This is due to rapid medico-technol ...

MDPI2023

Soliton Generation in a Gallium Phosphide Photonic-Crystal Fabry-Perot Microresonator

Tobias Kippenberg, Johann Emmeram Riemensberger, Miles Henry Anderson, Nikolai Kuznetsov, Alisa Davydova, Alberto Nardi

Ring resonators have proven to be extremely successful for generation of temporal dissipative Kerr solitons, but their dispersion engineering is limited. We present a photonic-crystal Fabry-Perot resonator with record-high quality factors in gallium phosph ...

IEEE2023

Single-Band Raman Shift Detection for Spectroscopy-Less Optical Biosensors

Sandro Carrara, Ata Jedari Golparvar

The application of Raman scattering in biosensing diverges significantly from its previous usage in qualitative analysis, eliminating the necessity for spectroscopy in certain cases. Here, we push the frontiers of optical biosensing by integrating a custom ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Dynamic Hydrogel Design For Spatiotemporal Control Of Morphogenesis

Matthias Lütolf, Nicolas Antoine Vincent Broguiere, Antonius Chrisnandy

MARY ANN LIEBERT, INC2023

Sub-kHz-Linewidth External-Cavity Laser (ECL) With Si3N4 Resonator Used as a Tunable Pump for a Kerr Frequency Comb

Tobias Kippenberg, Junqiu Liu

Combining optical gain in direct-bandgap III-V materials with tunable optical feedback offered by advanced photonic integrated circuits is key to chip-scale external-cavity lasers (ECL), offering wideband tunability along with low optical linewidths. Exter ...

IEEE Institute of Electrical and Electronics Engineers2023

Expansion Work Recovery of Hydrogen for a FC-Truck-Tentative Design of an Expansion Machine

Alfred Rufer

Hydrogen powered vehicles use high-pressure reservoirs from which the gas is transferred to the low-pressure fuel-cell via a classical pressure reduction valve. In these systems no expansion work is recovered and the question is addressed of the potential ...

MDPI2023

Influence of Different Sterilization Methods on the Surface Chemistry and Electrochemical Behavior of Biomedical Alloys

Stefano Mischler, Brigitte Jolles-Haeberli, Anna Neus Igual Muñoz

Sterilization is a prerequisite for biomedical devices before contacting the human body. It guarantees the lack of infection by eliminating microorganisms (i.e., bacteria, spores and fungi). It constitutes the last fabrication process of a biomedical devic ...

2023

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

Daniel Kuhn, Soroosh Shafieezadeh Abadeh, Bahar Taskesen

Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard. Even though such problems are ubiquitous in statistics, ...

2023

Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm

Ali H. Sayed

Proportional-type algorithms have attracted much attention because of their fast convergence ability for sparse system identification. To overcome the drawbacks of existing block proportional methods stemming from inadequate block partitioning, this articl ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Experimental investigations of a new highly ductile hold-down with adaptive stiffness for timber seismic bracing walls

Pierino Lestuzzi

An efficient implementation of the capacity design requires high ductility combined with a low overstrength of the critical regions. Conventional timber connections do not generally offer such ideal combination, resulting in modest behaviour and relatively ...

SPRINGER2023

A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers

Petr Motlicek, Juan Pablo Zuluaga Gomez

In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI)-based tools. The virtual simulation-pilot engine receives spoken ...

MDPI2023

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Touradj Ebrahimi

The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Te ...

IEEE COMPUTER SOC2023

Amperometric Measurements by a Novel Aerosol Jet Printed Flexible Sensor for Wearable Applications

Sandro Carrara, Sarah Tonello

the last years, increasing interest has been addressed on wearable devices for the continuous monitoring of biochemical profiles of patients and athletes. Among various markers, lactate represents one of the most interesting to deepen the knowledge on fati ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Rachid Guerraoui, Alexandre David Olivier Maurer

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

ELSEVIER SCIENCE SA2023