Publication Applying Machine Learning to End-to-end Slice SLA Decomposition Michael Iannelli, Muntasir Raihan Rahman, Nakjung Choi, Le Wang 2020 6th IEEE Conference on Network Softwarization (NetSoft) | July 2020
Publication Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis Lorin Crawford, Anthea Monod, Andrew X. Chen, Sayan Mukherjee, Raúl Rabadán Journal of the American Statistical Association | July 2020, Vol 115(531): pp. 1139-1150
Publication Studying Ransomware Attacks Using Web Search Logs Chetan Bansal, Pantazis Deligiannis, Chandra Maddila, Nikitha Rao SIGIR 2020 | July 2020
Publication The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Jakub Swiatkowski, Kevin Roth, Bastiaan S. Veeling, Linh Tran, Joshua V. Dillon, Jasper Snoek, Stephan Mandt, Tim Salimans, Rodolphe Jenatton, Sebastian Nowozin ICML 2020 | July 2020
Publication Private Reinforcement Learning with PAC and Regret Guarantees Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Steven Wu ICML 2020 | July 2020
Publication DROCC: Deep Robust One-Class Classification Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain ICML 2020 | July 2020 Project
Publication The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai, Ziyu Wang, David Wipf ICML 2020 | July 2020
Publication Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner ICML 2020 | July 2020
Publication GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation Marc Brockschmidt ICML 2020 | July 2020
Publication An end-to-end approach for the verification problem: learning the right distance Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R Devon Hjelm, Tiago Falk ICML 2020 | July 2020