Modeling the Three-Dimensional Chromatin Structure from Hi-C Data with Transfer Learning
- Tristan Meynier
- Marianna Rapsomaniki
- 2021
- NeurIPS 2021
Workshop paper
Publications
1650 results for Machine Learning
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
- Nghia Hoang
- Lam Nguyen
- et al.
- 2021
- NeurIPS 2021
WorkshopTowards efficient end-to-end speech recognition with biologically-inspired neural networks
- Thomas Bohnstingl
- Ayush Garg
- et al.
- 2021
- NeurIPS 2021
Workshop paperCombining an Integrated Sensor Array with Machine Learning for the Simultaneous Quantification of Multiple Cations in Aqueous Mixtures
- Gianmarco Gabrieli
- Rui Hu
- et al.
- 2021
- Analytical Chemistry
PaperEffective dimension of machine learning models
- Amira Abbas
- David Sutter
- et al.
- 2021
- arXiv
PaperPredicting Deep Neural Network Generalization with Perturbation Response Curves
- Yair Schiff
- Brian Quanz
- et al.
- 2021
- NeurIPS 2021
Conference paperTargeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperMemory-efficient Patch-based Inference for Tiny Deep Learning
- Ji Lin
- Wei-Ming Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperSliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 2021
- NeurIPS 2021
Conference paperScalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
Conference paper