activity
20132023
most citedLearning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning

8 citations · 43 across the 13 of their papers we have counts for

collaborators

13 papers

cs.PL2023★ 2 cited

Modal Reactors

Alexander Schulz-Rosengarten, Reinhard von Hanxleden, Marten Lohstroh +2

Complex software systems often feature distinct modes of operation, each designed to handle a particular scenario that may require the system to respond in a certain way. Breaking…

cs.DC2023★ 2 cited

Consistency vs. Availability in Distributed Real-Time Systems

Edward A. Lee, Ravi Akella, Soroush Bateni +3

In distributed applications, Brewer's CAP theorem tells us that when networks become partitioned (P), one must give up either consistency (C) or availability (A). Consistency is ag…

cs.PL2023★ 6 cited

High-Performance Deterministic Concurrency using Lingua Franca

Christian Menard, Marten Lohstroh, Soroush Bateni +10

Actor frameworks and similar reactive programming techniques are widely used for building concurrent systems. They promise to be efficient and scale well to a large number of cores…

cs.DC2022★ 5 cited

Xronos: Predictable Coordination for Safety-Critical Distributed Embedded Systems

Soroush Bateni, Marten Lohstroh, Hou Seng Wong +6

Asynchronous frameworks for distributed embedded systems, like ROS and MQTT, are increasingly used in safety-critical applications such as autonomous driving, where the cost of uni…

eess.SP2022

Blind source separation of baseband RF communication signals using mixed-signal matrix multiplication circuit

Bindu Madhavan, Edward Lee, Joshua Zusman +1

An 8 x 8 mixed-signal matrix multiplier architecture based on 64 hybrid capacitor-resistor multiplying digital to analogue converters implemented in a 65 nm CMOS technology was dev…

cs.DC2021★ 6 cited

Quantifying and Generalizing the CAP Theorem

Edward A. Lee, Soroush Bateni, Shaokai Lin +2

In distributed applications, Brewer's CAP theorem tells us that when networks become partitioned, there is a tradeoff between consistency and availability. Consistency is agreement…

cs.LG2020★ 4 cited

Learning Branching Heuristics for Propositional Model Counting

Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu +4

Propositional model counting, or #SAT, is the problem of computing the number of satisfying assignments of a Boolean formula. Many problems from different application areas, includ…

cs.LO2018★ 1 cited

A Metric for Linear Temporal Logic

Íñigo Íncer Romeo, Marten Lohstroh, Antonio Iannopollo +2

We propose a measure and a metric on the sets of infinite traces generated by a set of atomic propositions. To compute these quantities, we first map properties to subsets of the r…

cs.LO2018★ 8 cited

Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning

Gil Lederman, Markus N. Rabe, Edward A. Lee +1

We demonstrate how to learn efficient heuristics for automated reasoning algorithms for quantified Boolean formulas through deep reinforcement learning. We focus on a backtracking…

cs.ET2016

Analysis and Design of a Passive Switched-Capacitor Matrix Multiplier for Approximate Computing

Edward H. Lee, S. Simon Wong

A switched-capacitor matrix multiplier is presented for approximate computing and machine learning applications. The multiply-and-accumulate operations perform discrete-time charge…

eess.SY2015★ 6 cited

Control Improvisation with Probabilistic Temporal Specifications

Ilge Akkaya, Daniel J. Fremont, Rafael Valle +3

We consider the problem of generating randomized control sequences for complex networked systems typically actuated by human agents. Our approach leverages a concept known as contr…

cs.LO2013★ 1 cited

The Fixed-Point Theory of Strictly Contracting Functions on Generalized Ultrametric Semilattices

Eleftherios Matsikoudis, Edward A. Lee

We introduce a new class of abstract structures, which we call generalized ultrametric semilattices, and in which the meet operation of the semilattice coexists with a generalized…

cs.SE2013★ 2 cited

Numerical LTL Synthesis for Cyber-Physical Systems

Chih-Hong Cheng, Edward A. Lee

Cyber-physical systems (CPS) are systems that interact with the physical world via sensors and actuators. In such a system, the reading of a sensor represents measures of a physica…