14 papers
CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data
Francis Ndikum Nji, Vandana Janeja, Jianwu Wang
Deep subspace clustering plays a critical role in applications involving multivariate spatiotemporal data, such as sea ice monitoring, disease spread analysis, and tracking neuro-d…
Linguistically Augmented Audio Speech Data (LinguAS)
Ashley R. Keaton, Zahra Khanjani, Christine Mallinson +1
Maliciously-created fake speech, including deepfaked and spoofed audio, is proliferating at an alarming rate, and detection models are racing to stay ahead of the curve. Yet, most…
Physics-Encoded Inverse Modeling for Arctic Snow Depth Estimation
Akila Sampath, Vandana P. Janeja, Vandana Janeja +1
Accurate estimation of unobserved quantities in time-varying inverse problems remains challenging when observations are sparse and only indirectly related to the target variable. I…
Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics
Akila Sampath, Vandana Janeja, Jianwu Wang
Quantifying the causal relationship between sea ice thickness and sea surface height (SSH) is essential for understanding the mechanisms driving polar climate dynamics. Conventiona…
Multi-Speaker Conversational Audio Deepfake: Taxonomy, Dataset and Pilot Study
Alabi Ahmed, Vandana Janeja, Sanjay Purushotham
The rapid advances in text-to-speech (TTS) technologies have made audio deepfakes increasingly realistic and accessible, raising significant security and trust concerns. While exis…
Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals
Bayu Adhi Tama, Jianwu Wang, Vandana Janeja +1
Accurate subglacial bed topography is essential for ice sheet modeling, yet radar observations are sparse and uneven. We propose a physics-guided residual learning framework that p…