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Postdoctoral Researcher
,
Center for Computational Mathematics, Flatiron Institute
2022–
·
PhD Student, Biophysics
,
UC Berkeley
2022–
Publications
(12)
Hyperfine Structure of the $B^3\Pi_1$ State and Predictions of Optical Cycling Behavior in the $X\rightarrow B$ transition of TlF
2017
29
cited
Hyperfine Structure of the B State and Predictions of Optical Cycling Behavior of the X-B transition in TlF
2017
24
cited
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
International Conference on Machine Learning · 2020
18
cited
Optimization with Adaptive Step Size Selection from a Dynamical Systems Perspective
2021
9
cited
Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible
arXiv.org · 2020
8
cited
Solution to the Fokker-Planck equation for slowly driven Brownian motion: Emergent geometry and a formula for the corresponding thermodynamic metric.
Physical Review E · 2020
7
cited
Numerically Recovering the Critical Points of a Deep Linear Autoencoder
arXiv.org · 2019
6
cited
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
Neural Computation · 2020
4
cited
A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
arXiv.org · 2024
2
cited
A gentle introduction to gradient-based optimization and variational inequalities for machine learning
Journal of Statistical Mechanics: Theory and Experiment · 2023
1
cited
A Solution to Driven Brownian Motion and its Application to the Optimal Control of Small Stochastic Systems
2020
1
cited
A Solution to the Fokker-Planck Equation for Slowly Driven Brownian Motion and a Formula for the Corresponding Thermodynamic Metric
2021
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Neha Wadia | Researcher Profile | Sotabase | Sotabase