Publications related to Frequency dependence in GW made simple using a multipole approximation

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Robert West, Maxime Jean Julien Peyrard, Marija Sakota

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

Assoc Computing Machinery2024

Hardware-Software co-design Methodologies for Edge AI Optimization

Flavio Ponzina

ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...

EPFL2023

Efficient Online Clustering with Moving Costs

Volkan Cevher, Efstratios Panteleimon Skoulakis

In this work we consider an online learning problem, called Online k-Clustering with Moving Costs, at which a learner maintains a set of k facilities over T rounds so as to minimize the connection cost of an adversarially selected sequence of clients. The ...

2023

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Anna Timonina-Farkas, René Yves Glogg

Years of globalization, outsourcing and cost cutting have increased supply chain vulnerability calling for more effective risk mitigation strategies. In our research, we analyze supply chain disruptions in a production setting. Using a bilevel optimization ...

SPRINGER HEIDELBERG2022

Optimal Matching of Random Parts

Thomas Alois Weber

This paper examines the minimization of the cost for an expected random production output, given an assembly of finished goods from two random inputs, matched in two categories. We describe the optimal input portfolio, first using the standard normal appro ...

2022

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Hoài-Minh Nguyên

The controllability cost for the heat equation as the control time

T

goes to 0 is well-known of the order

e^{C/T}

for some positive constant

C

, depending on the controlled domain and for all initial datum. In this paper, we prove that the constant $C ...

2021

Cost and benefit allocation in a energy community

In the transition to a sustainable energy system, energy communities have unique advantages; they require no additional land and allow inhabitants to reduce their energy bills. Nowadays, each shareholder’s profit is calculated based on their share of inves ...

2021

Recursive evaluation and iterative contraction of N-body equivariant features

Michele Ceriotti, Sergey Pozdnyakov, Jigyasa Nigam

Mapping an atomistic configuration to a symmetrized N-point correlation of a field associated with the atomic positions (e.g., an atomic density) has emerged as an elegant and effective solution to represent structures as the input of machine-learning algo ...

2020

Iterative Classroom Teaching

Pierre Dillenbourg, Volkan Cevher, Thibault Lucien Christian Asselborn, Shuqing Teresa Yeo, Louis Pierre Faucon, Kamalaruban Parameswaran

We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learning rate ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2019

Strategic Durability with Sharing Markets

Thomas Alois Weber, Maryam Razeghian Jahromi

Electronic sharing markets are contributing to a paradigm shift, from consuming products to accessing products. This paper studies the effects of sharing markets on the prices for new products and on product design in terms of durability. In a dynamic econ ...

2019

Frequency dependence in GW made simple using a multipole approximation

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Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Hardware-Software co-design Methodologies for Edge AI Optimization

Efficient Online Clustering with Moving Costs

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Optimal Matching of Random Parts

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Cost and benefit allocation in a energy community

Recursive evaluation and iterative contraction of N-body equivariant features

Iterative Classroom Teaching

Strategic Durability with Sharing Markets

Hardware-Software co-design Methodologies for Edge AI Optimization

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Optimal Matching of Random Parts

A dependence of the cost of fast controls for the heat equation on the support of initial datum

Iterative Classroom Teaching

Efficient Online Clustering with Moving Costs

Cost and benefit allocation in a energy community

Strategic Durability with Sharing Markets

Recursive evaluation and iterative contraction of N-body equivariant features