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AIM Faculty & Staff

Michelle Girvan

Portrait of Michelle Girvan

Michelle Girvan

Professor, Physics, IPST, IREAP, AMSC

girvan@umd.edu

Latest Papers

Tailored forecasting from short time series via meta-learning

| Science Advances
UMD Author(s): Michelle Girvan

Boosting reservoir computing with brain-inspired adaptive control of E-I balance

| Nature Communications
UMD Author(s): Michelle Girvan

Learning beyond experience: Generalizing to unseen state space with reservoir computing

| Chaos: An Interdisciplinary Journal of Nonlinear Science
UMD Author(s): Michelle Girvan

Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems

| AIP Publishing
UMD Author(s): Michelle Girvan

Supplementary Material: Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems

| AIP Publishing
UMD Author(s): Michelle Girvan

The myopia of crowds: A study of collective evaluation on stack exchange

| PLoS One, e073610
UMD Author(s): Michelle Girvan

Reservoir observers: Model-free inference of unmeasured variables in chaotic systems

| Chaos 27, 041102
UMD Author(s): Michelle Girvan

Single-cell systems biology: Probing the basic unit of information flow

| Current opinion in systems biology
UMD Author(s): Michelle Girvan

Competing opinions and stubbornness: Connecting models to data

| Physical Review E 93, 032305
UMD Author(s): Michelle Girvan

Dynamical transition in large systems of mean field-coupled Landau-Stuart oscillators: Extensive chaos and cluster states

| Chaos 25, 123122
UMD Author(s): Michelle Girvan