Anshul Kundaje
Orcid: 0000-0003-3084-2287
According to our database1,
Anshul Kundaje
authored at least 37 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA.
CoRR, 2024
2023
Nucleic Acids Res., January, 2023
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.
CoRR, 2022
Bioinform., 2022
fastISM: performant<i>in silico</i>saturation mutagenesis for convolutional neural networks.
Bioinform., 2022
2021
Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics.
Proceedings of the Machine Learning in Computational Biology Meeting, 2021
Towards More Realistic Simulated Datasets for Benchmarking Deep Learning Models in Regulatory Genomics.
Proceedings of the Machine Learning in Computational Biology Meeting, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks.
CoRR, 2019
Bioinform., 2019
Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts.
Bioinform., 2019
2018
GenomeDISCO: a concordance score for chromosome conformation capture experiments using random walks on contact map graphs.
Bioinform., 2018
Discovering epistatic feature interactions from neural network models of regulatory DNA sequences.
Bioinform., 2018
Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
2017
Vicus: Exploiting local structures to improve network-based analysis of biological data.
PLoS Comput. Biol., 2017
Bioinform., 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
2014
Comparative analysis of regulatory information and circuits across distant species Open.
Nat., 2014
2013
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements.
Adv. Math. Commun., 2013
2008
PLoS Comput. Biol., 2008
2006
A classification-based framework for predicting and analyzing gene regulatory response.
BMC Bioinform., 2006
2005
IEEE ACM Trans. Comput. Biol. Bioinform., 2005
Proceedings of the Research in Computational Molecular Biology, 2005
2004
Proceedings of the Regulatory Genomics, 2004
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004