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Published Date

Video

Understanding Black-box Predictions via Influence Functions

July 19, 2017 | Pang Wei Koh

How can we explain the predictions of a black-box model? In this paper, we use influence functions — a classic technique from robust statistics — to trace a model’s prediction through the learning algorithm and back to…

Understanding Black-box Predictions via Influence Functions

0:57:32

Publication

Developing Bug-Free Machine Learning Systems with Formal Mathematics

Daniel Selsam, Percy Liang, David L. Dill

ICML 2017 | July 2017

Github Project

Publication

Refining Interprocedural Change-Impact Analysis using Equivalence Relations

Alex Gyori, Shuvendu Lahiri, Nimrod Partush

The International Symposium on Software Testing and Analysis 2017 (ISSTA ’17) | July 2017

Project

Video

PX4 Attitude Estimation in AirSim

July 13, 2017 | Chris Lovett

Shows how to check the PX4 attitude estimator behavior with AirSim and LogViewer.

03:00

Publication

Starling: Lightweight Concurrency Verification with Views

Matt Windsor, Mike Dodds, Ben Simner, Matthew Parkinson

Computer Aided Verification 2017 | July 2017

Publication

Proving Linearizability Using Partial Orders (Extended Version)

Artem Khyzha, Mike Dodds, Alexey Gotsman, Matthew J. Parkinson

July 2017

Video

F*: Tactics, SMT, and metaprogramming

July 5, 2017 | Guido Martinez

I’ll present the incipient tactics engine for F*, a programming language aimed at verification with an SMT backend. In the quest to make both F* proofs faster and more reliable and the language itself more…