2 citations · 7 across the 13 of their papers we have counts for
14 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…
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…
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…
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy, Dani S. Bassett
Deterministic chaos permits a precise notion of a "perfect measurement" as one that, when obtained repeatedly, captures all of the information created by the system's evolution wit…
Intrinsically motivated graph exploration using network theories of human curiosity
Shubhankar P. Patankar, Mathieu Ouellet, Juan Cervino +3
Intrinsically motivated exploration has proven useful for reinforcement learning, even without additional extrinsic rewards. When the environment is naturally represented as a grap…
Information decomposition in complex systems via machine learning
Kieran A. Murphy, Dani S. Bassett
One of the fundamental steps toward understanding a complex system is identifying variation at the scale of the system's components that is most relevant to behavior on a macroscop…
Information content of note transitions in the music of J. S. Bach
Suman Kulkarni, Sophia U. David, Christopher W. Lynn +1
Music has a complex structure that expresses emotion and conveys information. Humans process that information through imperfect cognitive instruments that produce a gestalt, smeare…
Interpretability with full complexity by constraining feature information
Kieran A. Murphy, Dani S. Bassett
Interpretability is a pressing issue for machine learning. Common approaches to interpretable machine learning constrain interactions between features of the input, rendering the e…
Characterizing information loss in a chaotic double pendulum with the Information Bottleneck
Kieran A. Murphy, Dani S. Bassett
A hallmark of chaotic dynamics is the loss of information with time. Although information loss is often expressed through a connection to Lyapunov exponents -- valid in the limit o…
Learning Dynamic Graphs, Too Slow
Andrei A. Klishin, Nicolas H. Christianson, Cynthia S. Q. Siew +1
The structure of knowledge is commonly described as a network of key concepts and semantic relations between them. A learner of a particular domain can discover this network by nav…
Synchronization of coupled Kuramoto oscillators competing for resources
Keith A. Kroma-Wiley, Peter J. Mucha, Dani S. Bassett
Populations of oscillators are present throughout nature. Very often synchronization is observed in such populations if they are allowed to interact. A paradigmatic model for the s…