output
20072026
most citedSciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

40.2k citations

Showing 2017Show all

29 papers · 1 filter

cs.LO2017★ 51 cited

Horn-ICE Learning for Synthesizing Invariants and Contracts

Deepak D'Souza, P. Ezudheen, Pranav Garg +2

We design learning algorithms for synthesizing invariants using Horn implication counterexamples (Horn-ICE), extending the ICE-learning model. In particular, we describe a decision…

stat.ML2017★ 1 cited

Optimizing Human Learning

Behzad Tabibian, Utkarsh Upadhyay, Abir De +3

Spaced repetition is a technique for efficient memorization which uses repeated, spaced review of content to improve long-term retention. Can we find the optimal reviewing schedule…

cs.SI2017★ 1 cited

Fake News Detection in Social Networks via Crowd Signals

Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez +2

Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating us…

cs.CC2017★ 5 cited

On the complexity of hazard-free circuits

Christian Ikenmeyer, Balagopal Komarath, Christoph Lenzen +3

The problem of constructing hazard-free Boolean circuits dates back to the 1940s and is an important problem in circuit design. Our main lower-bound result unconditionally shows th…

cs.LO2017

Fair Termination for Parameterized Probabilistic Concurrent Systems (Technical Report)

Ondrej Lengal, Anthony W. Lin, Rupak Majumdar +1

We consider the problem of automatically verifying that a parameterized family of probabilistic concurrent systems terminates with probability one for all instances against adversa…

cs.CR2017★ 2 cited

Forgetting the Forgotten with Letheia, Concealing Content Deletion from Persistent Observers

Mohsen Minaei, Mainack Mondal, Patrick Loiseau +2

Most social platforms offer mechanisms allowing users to delete their posts, and a significant fraction of users exercise this right to be forgotten. However, ironically, users' at…