I am a PhD candidate at the Swiss AI Lab IDSIA, University of Lugano, where I work under the supervision of Prof. Jürgen Schmidhuber. My research centers on artificial curiosity, representation learning, reinforcement learning, and information theory, with the aim of uncovering criteria for determining the ‘interestingness’ of objects and developing effective representations for them. In addition to my academic pursuits, I am a classical pianist and composer.
Recent News
Paper accepted at IEEE TPAMI
Our work “On the Distillation of Stories for Transferring Narrative Arcs in Collections of Independent Media” has been accepted as a full paper at IEEE TPAMI...
ICML 2024 Oral
Presented our oral “Learning Useful Representations of Recurrent Neural Network Weight Matrices” at ICML 2024 in Vienna. Presentation Paper Poster
Research Projects
Learning useful representations of recurrent neural network weight matrices
Recurrent Neural Networks are general-purpose computers. The program of an RNN is its weight matrix. How to learn useful representations of RNN weights that ...
Unsupervised Musical Object Discovery from Audio
Our novel MusicSlots method adapts SlotAttention to the audio domain, to achieve unsupervised music decomposition.
