Publications related to Epistemic modality

Transformer Models for Vision

Jean-Baptiste Francis Marie Juliette Cordonnier

The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins. All these successful methods depend on a gradient-based learning algorithm to train a model on massive ...

EPFL2023

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Daniel Gatica-Perez, Lakmal Buddika Meegahapola

Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference performance through t ...

Assoc Computing Machinery2023

Temporal analysis of multimodal data to predict collaborative learning outcomes

Kshitij Sharma, Jennifer Kaitlyn Olsen

The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated ...

WILEY2020

Modes and Existences in Citizen Science: Thoughts from Earthquake Country

In the Bay Area of San Francisco, the earthquake contours are not easy to define: seismology is still a relatively recent science, and controversies around methods to evaluate the earthquake risk are constant. In this context, the invitation to think about ...

2019

Two-photon fluorescence imaging through multicore fiber with digital phase conjugation

Demetri Psaltis, Christophe Moser, Nicolino Stasio, Donald Benjaman Conkey

We present near diffraction limited two photon fluorescence (TPF) imaging through a lensless, multi-core fiber (MCF) endoscope utilizing digital phase conjugation. The ultra-small size of MCFs make them desirable tools for imaging deep into the body. TPF i ...

Spie-Int Soc Optical Engineering2016

In the Mood for Vlog: Multimodal Inference in Conversational Social Video

Daniel Gatica-Perez, Dairazalia Sanchez Cortes

The prevalent “share what’s on your mind” paradigm of social media can be examined from the perspective of mood: short-term affective states revealed by the shared data. This view takes on new relevance given the emergence of conversational social video as ...

Assoc Computing Machinery2015

Analysis of taste processing in rat gustatory cortex

Riccardo Accolla

Gustatory perception is a complex phenomenon involving the recognition of sensory properties of a food (taste modality and intensity, flavour, texture, fat content, temperature) as well as its reward value (pleasantness and nutritional value). The sense of ...

EPFL2007

Error handling in multimodal voice-enabled interfaces of tour-guide robots using graphical models

Plamen Prodanov

Mobile service robots are going to play an increasing role in the society of humans. Voice-enabled interaction with service robots becomes very important, if such robots are to be deployed in real-world environments and accepted by the vast majority of pot ...

EPFL2006