16 citations · 79 across the 25 of their papers we have counts for
3 papers · 2 filters
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1
Federated adaptation of time-series foundation models (TSFMs) is attractive for building energy forecasting because meter data are private, distributed, and highly non-IID. However…
Hyperbolic Manifold Constrained Tabular Neural Network
Tian Li, Lucy Robinson, Varun Ojha +1
Tabular prediction is central to a wide range of real-world applications. Tabular data typically contain heterogeneous features as well as rich and complex relational information t…
Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization
Ziwei Zheng, Huizhi Liang, Vaclav Snasel +4
Deep learning networks excel at classification, yet identifying minimal architectures that reliably solve a task remains challenging. We present a computational methodology for sys…