Author

T. Mittal

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Open access Sep 2026

Seismic and Aseismic Slip Compete to Regulate Permeability Evolution During Fault Reactivation

Crustal permeability can be created through microearthquakes as observed at field and laboratory scales. The respective roles of seismic and aseismic slip in governing permeability evolution remain ill‐constrained. Here, we present observations of controlled pore pressure stepping experiments designed to distinguish th...

Jun-Peng Wang, Muhammad Edo Nurshal, P. Yu et al. · Geophysical Research Letters · 0 citations

Open access Sep 2026

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions?...

Kan-Gan Li, T. Mittal, Benjamin K. Holtzman et al. · Journal of Geophysical Resea... · 0 citations

Open access Jul 2026

Adaptive test-time augmentation via KL-regularized reinforcement learning for robust visual inference.

Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts. To overcome the limitations of fixed, input-agnostic test-time augmentation (TTA), an adaptive framework is proposed that learns per-sample transformations via reinforcement learning....

T. Mittal, A. Dubey, Dharmender Saini et al. · Scientific Reports · 0 citations