Publication Investigating the Feasibility of FPGA-based Network Switches Jiuxi Meng, Nadeen Gebara, Ho-Cheung Ng, Paolo Costa, Wayne Luk IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP) | July 2019
Publication Overfitting in Synthesis: Theory and Practice Saswat Padhi, Todd Millstein, Aditya Nori, Rahul Sharma Computer Aided Verification (CAV) | July 2019
Publication Fast General Distributed Transactions with Opacity Alex Shamis, Matthew Renzelmann, Stanko Novakovic, Georgios Chatzopoulos, Aleksandar Dragojevic, Dushyanth Narayanan, Miguel Castro International Conference on Management of Data (SIGMOD ’19) | June 2019 Best Paper Honorable Mention Project
Publication snmalloc: A message passing Allocator David Chisnall, Sylvan Clebsch, Sophia Drossopoulou, Juliana Vicente Franco, Paul Lietar, Matthew J. Parkinson, Alex Shamis, Christoph M. Wintersteiger ISSM | June 2019, pp. 122-135 Project
Publication EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE Chao Ma, Sebastian Tschiatschek, Konstantina Palla, Jose Miguel Hernandez Lobato, Sebastian Nowozin, Cheng Zhang International Conference on Machine Learning | June 2019 Project
Publication Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla arXiv:1906.00429 | June 2019 Published by arXiv Project Project
Publication Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation Ruibo Tu, Kun Zhang, Bo Christer Bertilson, Hedvig Kjellström, Cheng Zhang June 2019 https://arxiv.org/abs/1906.01732 | June 2019 Project
Publication ODIN: Optimal Discovery of High-value INformation Using Model-based Deep Reinforcement Learning Sara Zannone, Jose Miguel Hernandez Lobato, Cheng Zhang, Konstantina Palla Real-world Sequential Decision Making Workshop, ICML | June 2019
Publication Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Ted Meeds ICML 2019 | June 2019 Project Project Project
Publication A Causal View on Robustness of Neural Networks Cheng Zhang, Yingzhen Li June 2019 ICML Workshop on Understanding and Improving Generalization in Deep Learning | June 2019 Project