Avanti Shrikumar - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 8 from 8

2021

Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory GenomicsEva Prakash, Avanti Shrikumar, Anshul Kundaje. mlcb 2021: 58-77 [doi]

Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in GenomicsHannah Zhou, Avanti Shrikumar, Anshul Kundaje. mlcb 2021: 1-33 [doi]

2020

Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationAmr Alexandari, Anshul Kundaje, Avanti Shrikumar. icml 2020: 222-232 [doi]

Interpretable machine learning for scientific discovery in regulatory genomicsAvanti Shrikumar. PhD thesis, Stanford University, USA, 2020. [doi]

Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomicsAlex Tseng, Avanti Shrikumar, Anshul Kundaje. nips 2020: [doi]

2019

Suggested Best Practices for Interpreting Deep Learning Models via Input-Level Importance ScoresAvanti Shrikumar. aaaiss 2019:

GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMsAvanti Shrikumar, Eva Prakash, Anshul Kundaje. bioinformatics, 35(14), 2019. [doi]

2017

Learning Important Features Through Propagating Activation DifferencesAvanti Shrikumar, Peyton Greenside, Anshul Kundaje. icml 2017: 3145-3153 [doi]

Sign in or sign up to see more results.

runs on WebDSL