research

Here you’ll find a curated overview of the papers where I have played a pivotal role, either as the first author or as a contributing author further down the authorship line. My involvement has spanned a variety of activities, from conceptualizing the initial ideas and developing machine learning models, to providing support and insights to my colleagues, or rigorously reviewing and refining the work.

List of Papers

MAS Emergence Safety

Formalized MAS emergence misalignment; proposed safety mitigation strategies.

Aquarium MARL Environment

Aquarium: Open-source MARL environment for predator-prey studies.

Primate Subsegment Sorting

Binary subsegment presorting improves noisy primate sound classification.

Emergent Social Dynamics

Artificial chemistry networks develop predictive models via surprise minimization.

Voronoi Data Augmentation

VoronoiPatches improves CNN robustness via non-linear recombination augmentation.

Organism Network Emergence

Self-replicating networks collaborate forming higher-level Organism Networks with emergent functionalities.

Extended Self-Replication

Journal extension: self-replication, noise robustness, emergence, dynamical system analysis.

RL Anomaly Detection

Perspective on anomaly detection challenges and future in reinforcement learning.

Tasked Self-Replication

Self-replicating networks perform tasks, exploring stabilization in artificial chemistry.

Audio Vision Transformer

Vision Transformer on spectrograms for audio classification, with data augmentation.

Primate Vocalization Classification

Deep BiLSTM classifies primate vocalizations for acoustic wildlife monitoring.

Acoustic Leak Detection

Anomaly detection models for acoustic leak detection in water networks.

Sound Anomaly Transfer

Image nets detect acoustic anomalies in machinery via spectrograms.

Anomalous Sound Features

Pretrained networks extract features for anomalous industrial sound detection.

Surgical-Mask Detection

CNN mask detection in speech using augmented spectrograms.

AV Meantime Coverage

Analyzing service coverage of parked AVs during downtime (‘meantime’).

PEOC OOD Detection

PEOC uses policy entropy for OOD detection in deep RL.

3D Primitive Segmentation

Hybrid method segments/fits primitives in large 3D point clouds.

Soccer Team Vectors

STEVE learns soccer team embeddings from match data for analysis.

Deep Audio Baselines

Deep learning audio baseline for Interspeech 2019 ComParE challenge.

Neural Self-Replication

Neural networks replicating weights, inspired by biology and artificial life.

Learned Trajectory Annotation

Unsupervised autoencoder learns spatial context from trajectory data for annotation.