36 citations · 44 across the 5 of their papers we have counts for
5 papers
Residual-augmented flow matching operators for probabilistic partial differential equations
Sahil Bhola, Karthik Duraisamy
Learning surrogate models for physical systems with latent uncertainty remains challenging in data-scarce regimes: deterministic neural operators fail to characterize uncertainty,…
Deterministic and Probabilistic Rounding Error Analysis for Mixed-Precision Arithmetic on Modern Computing Units
Sahil Bhola, Karthik Duraisamy
Modern computer architectures support low-precision arithmetic, which present opportunities for the adoption of mixed-precision algorithms to achieve high computational throughput…
Bias- and Variance-Aware Probabilistic Rounding Error Analysis for Floating-Point Arithmetic
Sahil Bhola, Karthik Duraisamy
Probabilistic rounding error analysis can yield much sharper bounds than classical worst-case theory, but existing results typically rely on zero-mean rounding errors and often lea…
Estimating Global Identifiability Using Conditional Mutual Information in a Bayesian Framework
Sahil Bhola, Karthik Duraisamy
A novel information-theoretic approach is proposed to assess the global practical identifiability of Bayesian statistical models. Based on the concept of conditional mutual informa…
Multi-fidelity reinforcement learning framework for shape optimization
Sahil Bhola, Suraj Pawar, Prasanna Balaprakash +1
Deep reinforcement learning (DRL) is a promising outer-loop intelligence paradigm which can deploy problem solving strategies for complex tasks. Consequently, DRL has been utilized…