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Author

Hardik Jain

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#machine learning Preprint Sep 2026

LPINNs: First-Layer Gated Localization for Physics-Informed Neural Networks

Physics-informed neural networks (PINNs) use one shared representation over the computational domain, which can become difficult to optimize on long domains and for high-order operators. We study a minimal alternative: multiply the first hidden activation of an otherwise unchanged dense PINN by input-dependent localiza...

Lakshay Chawla, Hardik Jain · 0 citations
#machine learning Preprint Sep 2026

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression

H3DNAS is presented, a hardware-aware model compression framework that operates directly on ONNX computational graphs without requiring original source code, architecture class definition, or gradient access during search during search, and is the first source-code-free compression pipeline for 3D point cloud models.

Anchit Mulye, R. Baghel, Sujay Kumar Ingle et al. · 0 citations

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