Not Just a Black Box: Learning Important Features Through Propagating Activation Differences. - Avanti Shrikumar; Peyton Greenside; Anna Shcherbina; Anshul Kundaje (CoRR, 2016)

Learning Important Features Through Propagating Activation Differences. - Avanti Shrikumar; Peyton Greenside; Anshul Kundaje (ICML, 2017)

Learning to Abstain via Curve Optimization. - Amr Alexandari; Avanti Shrikumar; Anshul Kundaje (CoRR, 2018)

Computationally Efficient Measures of Internal Neuron Importance. - Avanti Shrikumar; Jocelin Su; Anshul Kundaje (CoRR, 2018)

TF-MoDISco v0.4.4.2-alpha: Technical Note. - Avanti Shrikumar; Katherine Tian; Anna Shcherbina; Ziga Avsec; Abhimanyu Banerjee; Mahfuza Sharmin; Surag Nair; Anshul Kundaje (CoRR, 2018)

Suggested Best Practices for Interpreting Deep Learning Models via Input-Level Importance Scores. - Avanti Shrikumar (AAAI Spring Symposium: Interpretable AI for Well-being, 2019)

GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs. - Avanti Shrikumar; Eva Prakash; Anshul Kundaje (Bioinform., 2019)

Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks. - Avanti Shrikumar; Anshul Kundaje (CoRR, 2019)

Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation. - Amr Alexandari; Anshul Kundaje; Avanti Shrikumar (ICML, 2020)

Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics. - Alex Tseng; Avanti Shrikumar; Anshul Kundaje (NeurIPS, 2020)

Interpretable machine learning for scientific discovery in regulatory genomics. - Avanti Shrikumar (2020)

Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory Genomics. - Eva Prakash; Avanti Shrikumar; Anshul Kundaje (MLBC, 2021)

Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics. - Hannah Zhou; Avanti Shrikumar; Anshul Kundaje (MLBC, 2021)

fastISM: performantin silicosaturation mutagenesis for convolutional neural networks. - Surag Nair; Avanti Shrikumar; Jacob M. Schreiber; Anshul Kundaje (Bioinform., 2022)