Publications related to Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems

Related publications (12)

Transparent Multicore Scaling of Single-Threaded Network Functions with Performance Clarity

Software network functions (NFs) perform tasks on the critical path of Internet and data center networks, such as load balancing, firewalling, and NAT, making their performance and correctness essential. Driven by increasing user demand, the line rate of m ...

EPFL2025

Modeling, analysis, and design of complex biological networks

Mohammadomid Oftadeh

Automating experimental procedures has resulted in an unprecedented increase in the volume of generated data, which, in turn, has caused an accumulation of unprocessed data. As a result, the need to develop tools to analyze data systematically has been ris ...

EPFL2023

Adaptive Robust Data-Driven Building Control via Bilevel Reformulation: An Experimental Result

Colin Neil Jones, Yingzhao Lian, Jicheng Shi, Manuel Pascal Koch

Data-driven control approaches for the minimization of energy consumption of buildings have the potential to significantly reduce deployment costs and increase the uptake of advanced control in this sector. A number of recent approaches based on the applic ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter

Marcel Salathé, Martin Mathias Müller

IntroductionThis study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from social me ...

2023

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

Roland Logé, Rita Drissi Daoudi

The defective regimes in metal-based Laser Powder Bed Fusion (LPBF) processes can be minimized by deploying in-situ monitoring strategies comprising Machine learning (ML) algorithms and sensing techniques. So far, algorithms trained for monitoring a partic ...

ELSEVIER SCIENCE SA2022

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Gelareh Mohammadi, Maëlan Quentin Menétrey

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

FRONTIERS MEDIA SA2022

Representing stimulus information in an energy metabolism pathway

Henry Markram, Felix Schürmann, Daniel Keller, Jay Coggan

We explored a computational model of astrocytic energy metabolism and demonstrated the theoretical plausibility that this type of pathway might be capable of coding information about stimuli in addition to its known functions in cellular energy and carbon ...

2022

Stochastic distributed learning with gradient quantization and double-variance reduction

Sebastian Urban Stich

We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

TAYLOR & FRANCIS LTD2022

Steel Sheet Sheathed Cold-Formed Steel Framed In-line Wall Systems. II: Impact of Nonstructural Detailing

Fani Derveni

Although cold-formed steel (CFS) framing systems have the potential to support the need for resilient housing, the use of CFS has been restricted due to gaps in understanding its structural behavior and by the limited guidelines provided in design standard ...

ASCE-AMER SOC CIVIL ENGINEERS2022

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Wulfram Gerstner, Johanni Michael Brea, Kerstin Preuschoff, Alireza Modirshanechi, Marco Philipp Lehmann, Vasiliki Liakoni

Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii) e ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Modular robot networking: a novel schema and its performance assessment

Jamie Paik, Christoph Heinrich Belke, Kevin Andrew Holdcroft, Anastasia Bolotnikova

Modular robots (MRs) consist of unique robots which interconnect and work as a collective to perform objectives. Coordinating these robots rely on robust communication, as modules moving independently can lead to damaging behaviour. We present a robust str ...

IEEE2022

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

Tanja Christina Käser Jacober, Thiemo Wambsganss

Recent advantages from computational linguists can be leveraged to nudge students with adaptive self-evaluation based on their argumentation skill level. To investigate how individual argumentation self-evaluation will help students write more convincing t ...

2022