Sanjukta Krishnagopal

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Reservoir Computing

Manifold Structure

Directed Acyclic

Top Venues

Publications

Sarah Sotoudeh, Mason A. Porter, Sanjukta Krishnagopal
A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives. CoRR (2024)
Sanjukta Krishnagopal, Mason A. Porter
Bounded-Confidence Models of Opinion Dynamics with Neighborhood Effects. CoRR (2024)
Sanjukta Krishnagopal, Ginestra Bianconi
Topology and dynamics of higher-order multiplex networks. CoRR (2023)
Sanjukta Krishnagopal, Luana Ruiz
Graph Neural Tangent Kernel: Convergence on Large Graphs. ICML (2023)
Sanjukta Krishnagopal, Luana Ruiz
Graph Neural Tangent Kernel: Convergence on Large Graphs. CoRR (2023)
Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. CoRR (2023)
Malvina Bozhidarova, Jonathn Chang, Aaishah Ale-rasool, Yuxiang Liu, Chongyao Ma, Andrea L. Bertozzi, P. Jeffrey Brantingham, Junyuan Lin, Sanjukta Krishnagopal
Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. BigData (2023)
Sanjukta Krishnagopal, Keith Lohse, Robynne Braun
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. Brain Informatics 9 (1) (2022)
Sanjukta Krishnagopal
The collective vs individual nature of mountaineering: a network and simplicial approach. CoRR (2022)
Sanjukta Krishnagopal, Jacob Bedrossian
Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics. IJCNN (2022)
Sanjukta Krishnagopal
The collective vs individual nature of mountaineering: a network and simplicial approach. Appl. Netw. Sci. 7 (1) (2022)
Sanjukta Krishnagopal, Ginestra Bianconi
Spectral Detection of Simplicial Communities via Hodge Laplacians. CoRR (2021)
Sanjukta Krishnagopal, Keith Lohse, Robynne Braun
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. CoRR (2021)
Sanjukta Krishnagopal
Success at high peaks: a multiscale approach combining individual and expedition-wide factors. CoRR (2021)
Sanjukta Krishnagopal, Peter Latham
Encoding priors in the brain: a reinforcement learning model for mouse decision making. CoRR (2021)
Sanjukta Krishnagopal
Success at High Peaks: A Multiscale Approach Combining Individual and Expedition-Wide Factors. COMPLEX NETWORKS (2021)
Sanjukta Krishnagopal
Trajectory Clustering in Multi-layer Networks: Identifying Parkinson's Subtypes. CoRR (2020)
Sanjukta Krishnagopal, Jacob Bedrossian
Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations. CoRR (2020)
Sanjukta Krishnagopal, Garrett E. Katz, Michelle Girvan, James A. Reggia
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. IJCNN (2019)
Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt
Separation of Chaotic Signals by Reservoir Computing. CoRR (2019)
Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis
Bidirectional Convolutional LSTM for the Detection of Violence in Videos. ECCV Workshops (2) (2018)
Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan
Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach. Complex. 2018 (2018)
Sanjukta Krishnagopal, Sakshi Pratap, Bijil Prakash
Image Encryption and Steganography Using Chaotic Maps with a Double Key Protection. SocProS (2) (2014)