IJCAI-ECAI22 is coming up and TAILOR will be there! The conference will be in Vienna, from 23rd to 29th of July, 2022. Two keynotes will be given by TAILOR scientists: Gerhard Widmer (JKU Linz) will talk about “AI & Music: On the Role of AI in Studying a Human Art Form” on Monday 23rd, at 18.00 …
Keynotes from TAILOR scientists at IJCAI-ECAI 2022 in Vienna Read More »
The “Learning to run a power network challenge 2022” is concerned with AI for smart grids, and it has been built by RTE, the French Power Grid operator, and the TAU team, in collaboration with EPRI, CHA Learn, Google research, UCL and IQT labs.
A paper on learning from a limited data for human body/pose estimation from TAILOR researcher Hossein Rahmani, Lancaster University, has been accepted in the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2022) for oral presentation (acceptance rate is ~4%). This work has been done in collaboration with researchers from Singapore, US and …
A TAILOR paper selected for oral presentation at CVPR 2022 Read More »
On 15th of April, TAILOR Connectivity Fund has provided funds for new projects coming from PhD students and researchers from all over Europe. Check the list of all the projects funded by the Connectivity Fund by following this link https://tailor-network.eu/connectivity-fund/funded-projects/. The next deadline for applying to the Connectivity Fund and submitting your project is on …
Nieves Montes PhD Student at Artificial Intelligence Research Institute (IIIA-CSIC) This research visit will focus on models for empathetic software agents. This means embedding autonomous agents with the ability to model their peers and understand the reasons behind their behaviour. This work is to enhance the performace of agents in cooperative tasks, where they need …
Modeling others for cooperation under imperfect information Read More »
TAILOR researchers Kacper Sokol and Peter Flach have developed a workflow to automatically generate interactive documents, slides and computational notebooks from a collection of markdown source files. The framework offers a novel paradigm in authoring and publishing of scientific outputs. In academia it is quite common to produce multiple variants of the same content published …
You Only Write Thrice – a novel AI tool for scientific writing and publishing Read More »
Brian Logan Associate Professor at Utrecht University Many activities that are easy for humans, such as walking together with other humans, are hard to program as a set of rules for Artificial Intelligence (AI) robots. This is why machine learning is so popular in AI: correct behaviour can be learned by trial and error. However, …
Marcos Matabuena University of Santiago de Compostela In this project, in collaboration with Gábor Lugosi (UPF), we propose new uncertainty quantification methods based on the design of new Conformal Inference strategies for complex data that arise in modern personalized medicine applications. The new uncertainty methods can examine the reliability and safety of results obtained with …
Conformal Inference for multivariate, complex, and heterogeneous data Read More »
Manfred Jaeger Associated Professor at Aalborg University From Social networks to bibliographic databases: many important real-world phenomena consist of networks of connected entities. The mathematical model of such networks is that of a graph, which in its basic form just consists of a collection of nodes that are connected by edges. To model the rich …
Antonio Carta Post-doc at Pisa University Learning continually from non-stationary data streams is a challenging research topic of growing popularity in the last few years. Being able to learn, adapt and generalize continually, in an efficient, effective and scalable way appears to be fundamental for a more sustainable development of Artificial Intelligent systems. However, access …
Private Continual Learning from a Stream of Pretrained Models Read More »
