Previously, I studied two degrees (Mathematics and Engineering Physics) at UPC in Barcelona thanks to CFIS: an intensive program that selects 40 students from around Spain to study two degrees in 4.5 years. Within CFIS, I was the valedictorian of my promotion.
Meta-learning curiosity algorithms; NeurIPS '19 RL & meta-learning workshops
Neural Relational Inference with Fast Modular Meta-learning; NeurIPS '19
OmniPush dataset: accurate, diverse, real-world dataset of pushing dynamics; IROS '19
Graph Element Networks: structured, adaptive learning and memory; ICML '19
[Long talk: 20% of accepted papers, 4.5% of all submissions]
Modular meta-learning; CoRL 2018
Modular meta-learning in abstract graph networks for combinatorial generalization; NeurIPS'18 meta-learning workshop
OmniPush dataset: accurate, diverse, real-world dataset of pushing dynamics; NeurIPS'18 physics workshop
Finding frequent entities in continuous data; IJCAI '18
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching; Zeng et. al. ; ICRA '18
Amazon Robotics Challege
In 2016 I was a visiting student in the MCube lab at MIT with professor Alberto Rodriguez. There, I was responsible for the High Level planner of team MIT-Princeton in the Amazon Robotics Challenge 2016 and 2017.
Google Research Internships
I've done two internships at Google Research Zurich. In 2015 I worked on LSTMs for handwriting recognition. In 2016 I built a program that generated videos by learning how to stitch different video segments in an unsupervised way.