Image Encryption and Steganography Using Chaotic Maps with a Double Key Protection. - Sanjukta Krishnagopal; Sakshi Pratap; Bijil Prakash (SocProS (2), 2014)

Bidirectional Convolutional LSTM for the Detection of Violence in Videos. - Alex Hanson 002; Koutilya PNVR; Sanjukta Krishnagopal; Larry Davis 001 (ECCV Workshops (2), 2018)

Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach. - Sanjukta Krishnagopal; Yiannis Aloimonos; Michelle Girvan (Complex., 2018)

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation. - Sanjukta Krishnagopal; Garrett E. Katz; Michelle Girvan; James A. Reggia (IJCNN, 2019)

Separation of Chaotic Signals by Reservoir Computing. - Sanjukta Krishnagopal; Michelle Girvan; Edward Ott; Brian R. Hunt (CoRR, 2019)

Trajectory Clustering in Multi-layer Networks: Identifying Parkinson's Subtypes. - Sanjukta Krishnagopal (CoRR, 2020)

Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations. - Sanjukta Krishnagopal; Jacob Bedrossian (CoRR, 2020)

Uncovering Patterns in Complex Data with Reservoir Computing and Network Analytics: a dynamical Systems Approach. - Sanjukta Krishnagopal (2020)

Success at High Peaks: A Multiscale Approach Combining Individual and Expedition-Wide Factors. - Sanjukta Krishnagopal (COMPLEX NETWORKS, 2021)

Spectral Detection of Simplicial Communities via Hodge Laplacians. - Sanjukta Krishnagopal; Ginestra Bianconi (CoRR, 2021)

Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics. - Sanjukta Krishnagopal; Jacob Bedrossian (IJCNN, 2022)

The collective vs individual nature of mountaineering: a network and simplicial approach. - Sanjukta Krishnagopal (Appl. Netw. Sci., 2022)

Stroke recovery phenotyping through network trajectory approaches and graph neural networks. - Sanjukta Krishnagopal; Keith Lohse; Robynne Braun (Brain Informatics, 2022)

Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups. - Malvina Bozhidarova; Jonathn Chang; Aaishah Ale-rasool; Yuxiang Liu; Chongyao Ma; Andrea L. Bertozzi; P. Jeffrey Brantingham; Junyuan Lin; Sanjukta Krishnagopal (IEEE Big Data, 2023)

Graph Neural Tangent Kernel: Convergence on Large Graphs. - Sanjukta Krishnagopal; Luana Ruiz (ICML, 2023)

Topology and dynamics of higher-order multiplex networks. - Sanjukta Krishnagopal; Ginestra Bianconi (CoRR, 2023)

Bounded-Confidence Models of Opinion Dynamics with Neighborhood Effects. - Sanjukta Krishnagopal; Mason A. Porter (CoRR, 2024)

A Network-Based Measure of Cosponsorship Influence on Bill Passing in the United States House of Representatives. - Sarah Sotoudeh; Mason A. Porter; Sanjukta Krishnagopal (CoRR, 2024)

Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies. - Sai Vamsi Alisetti; Vikas Kalagi; Sanjukta Krishnagopal (CoRR, 2025)

Fractal dimensions of complex networks: advocating for a topological approach. - Rayna Andreeva; Haydeé Contreras-Peruyero; Sanjukta Krishnagopal; Nina Otter; Maria Antonietta Pascali; Elizabeth Thompson (CoRR, 2025)