Publications related to Thorny Problems in Data (-Intensive) Science

Related publications (10)

Interfacing with the Brain: How Nanotechnology Can Contribute

Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along wi ...

AMER CHEMICAL SOC2025

Challenges and Opportunities in Quantum Optimization

Julien Sebastian Gacon

Quantum computers have demonstrable ability to solve problems at a scale beyond brute-force classical simulation. Interest in quantum algorithms has developed in many areas, particularly in relation to mathematical optimization - a broad field with links t ...

NATURE PORTFOLIO2024

How Close are Predictive Models to Teachers in Detecting Learners at Risk?

Tanja Christina Käser Jacober

Detecting learners in need of support is a complex process for both teachers and machines. Most prior work has devised visualization tools that allow teachers to do so by analyzing educational indicators. Other recent efforts have been devoted to models th ...

ASSOC COMPUTING MACHINERY2023

Stepping into virtual reality

Daniel Thalmann

The 2nd edition of this book provides an updated and extended look into the advancements in Virtual Reality and the metaverse. The history and origins of Virtual Reality, crowd simulation and virtual surgery are thoroughly explored. Applications in the cul ...

Springer Nature2023

Succinct Non-Interactive Arguments via Linear Interactive Proofs

Alessandro Chiesa

Succinct non-interactive arguments (SNARGs) enable verifying NP statements with lower complexity than required for classical NP verification. Traditionally, the focus has been on minimizing the length of such arguments; nowadays, researchers have focused a ...

SPRINGER2022

Borrowing from yourself: Faster future video segmentation with partial channel update

Evann Pierre Guy Courdier

Semantic segmentation is a well-addressed topic in the computer vision literature, but the design of fast and accurate video processing networks remains challenging. In addition, to run on embedded hardware, computer vision models often have to make compro ...

IEEE2022

A history of crowd simulation: the past, evolution, and new perspectives

Daniel Thalmann

This paper aims to discuss the past, evolution, and new perspectives in crowd simulation. Many work have been produced and published in this area that was launched approximately 30 years ago. In this paper, we re-visited the main aspects of the area, prese ...

SPRINGER2021

Unsupervised Controllable Generation with Self-Training

Grigorios Chrysos

Recent generative adversarial networks (GANs) are able to generate impressive photo-realistic images. However, controllable generation with GANs remains an open research problem. Achieving controllable generation requires semantically interpretable and dis ...

IEEE2021

Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs

Pascal Frossard, Nikolaos Geroliminis, Semin Kwak

Multivariate time series forecasting poses challenges as the variables are intertwined in time and space, like in the case of traffic signals. Defining signals on graphs relaxes such complexities by representing the evolution of signals over a space using ...

2021

Embedded Polarizing Filters to Separate Diffuse and Specular Reflection

Adam James Scholefield, Gilles Baechler, Laurent Valentin Jospin

Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the filters. Recently, camera manufacturers have proposed to embed polarizing micro ...

SPRINGER INTERNATIONAL PUBLISHING AG2019