6 papers
Iterative Compositional Data Generation for Robot Control
Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar +3
Collecting robotic manipulation data is expensive, making it impractical to acquire demonstrations for the combinatorially large space of tasks that arise in multi-object, multi-ro…
Surveying the space of descriptions of a composite system with machine learning
Kieran A. Murphy, Yujing Zhang, Dani S. Bassett
Multivariate information theory provides a general and principled framework for understanding how the components of a complex system are connected. Existing analyses are coarse in…
Comparing the information content of probabilistic representation spaces
Kieran A. Murphy, Sam Dillavou, Dani S. Bassett
Probabilistic representation spaces convey information about a dataset and are shaped by factors such as the training data, network architecture, and loss function. Comparing the i…
Mechanical prions: Self-assembling microstructures
Mathieu Ouellet, Dani S. Bassett, Lee C. Bassett +2
Prions are misfolded proteins that transmit their structural arrangement to neighboring proteins. In biological systems, prion dynamics can produce a variety of complex functional…
Citation Sentiment Reflects Multiscale Sociocultural Norms
Xiaohuan Xia, Mathieu Ouellet, Shubhankar P. Patankar +2
Modern science is formally structured around scholarly publication, where scientific knowledge is canonized through citation. Precisely how citations are given and accrued can prov…
Which bits went where? Past and future transfer entropy decomposition with the information bottleneck
Kieran A. Murphy, Zhuowen Yin, Dani S. Bassett
Whether the system under study is a shoal of fish, a collection of neurons, or a set of interacting atmospheric and oceanic processes, transfer entropy measures the flow of informa…