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Concept

Probabilistic logic

Related publications (30)

Improving Standard-Cell Design Flow using Factored Form Optimization

Giovanni De Micheli, Alessandro Tempia Calvino

Factored form is a powerful multi-level representation of a Boolean function that readily translates into an implementation of the function in CMOS technology. In particular, the number of literals in a factored form correlates strongly with the number of ...

IEEE2023

Logic Synthesis From Incomplete Specifications Using Disjoint Support Decomposition

Giovanni De Micheli, Andrea Costamagna

Approximate logic synthesis is an emerging field that tolerates errors in the synthesized logic circuits for better optimization quality. Indeed, in many computing problems, the requirement of preserving the exact functionality either results in unnecessar ...

IEEE2022

Three-Input Gates for Logic Synthesis

Giovanni De Micheli, Mathias Soeken, Heinz Riener, Eleonora Testa, Dewmini Sudara Marakkalage

Most logic synthesis algorithms work on graph representations of logic functions with nodes associated with arbitrary logic expressions or simple logic functions and iteratively optimize such graphs. While recent multilevel logic synthesis efforts focused ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Giacomo Garegnani

In this thesis we explore uncertainty quantification of forward and inverse problems involving differential equations. Differential equations are widely employed for modeling natural and social phenomena, with applications in engineering, chemistry, meteor ...

EPFL2021

Discrete-Choice Mining of Social Processes

Victor Kristof

Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...

EPFL2021

A Logic Synthesis Toolbox for Reducing the Multiplicative Complexity in Logic Networks

Giovanni De Micheli, Mathias Soeken, Heinz Riener, Eleonora Testa, Luca Gaetano Amarù

Logic synthesis is a fundamental step in the realization of modern integrated circuits. It has traditionally been employed for the optimization of CMOS-based designs, as well as for emerging technologies and quantum computing. Recently, it found applicatio ...

IEEE2020

Pairwise Comparisons with Flexible Time-Dynamics

Matthias Grossglauser, Lucas Maystre, Victor Kristof

Inspired by applications in sports where the skill of players or teams competing against each other varies over time, we propose a probabilistic model of pairwise-comparison outcomes that can capture a wide range of time dynamics. We achieve this by replac ...

ASSOC COMPUTING MACHINERY2019

SAT-Based Exact Synthesis for Multi-Level Logic Networks

Winston Jason Haaswijk

Today, the design of electronic systems is largely automated. The practice of using software automation technologies for the design of electronic hardware is commonly referred to as Electronic Design Automation (EDA). EDA comprises a large set of tools, fr ...

EPFL2019

Reducing the Multiplicative Complexity in Logic Networks for Cryptography and Security Applications

Giovanni De Micheli, Mathias Soeken, Eleonora Testa, Luca Gaetano Amarù

Reducing the number of AND gates plays a central role in many cryptography and security applications. We propose a logic synthesis algorithm and tool to minimize the number of AND gates in a logic network composed of AND, XOR, and inverter gates. Our appro ...

ASSOC COMPUTING MACHINERY2019

LUT-Based Hierarchical Reversible Logic Synthesis

Giovanni De Micheli, Mathias Soeken

We present a synthesis framework to map logic networks into quantum circuits for quantum computing. The synthesis framework is based on lookup-table (urn networks, which play a key role in conventional logic synthesis. Establishing a connection between LUT ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Efficient Learning from Comparisons

Lucas Maystre

Humans are comparison machines: comparing and choosing an item among a set of alternatives (such as objects or concepts) is arguably one of the most natural ways for us to express our preferences and opinions. In many applications, the analysis of data con ...

EPFL2018

Variational Methods for Human Modeling

Timur Bagautdinov

A large part of computer vision research is devoted to building models and algorithms aimed at understanding human appearance and behaviour from images and videos. Ultimately, we want to build automated systems that are at least as capable as people when i ...

EPFL2018

Nonsilicon, Non-von Neumann Computing—Part I

Giovanni De Micheli

Majority-inverter graphs (MIGs) are a logic representation with remarkable algebraic and Boolean properties that enable efficient logic optimizations beyond the capabilities of traditional logic representations. Further, since many nano-emerging technologi ...

IEE2018

Size Optimization of MIGs with an Application to QCA and STMG Technologies

Giovanni De Micheli, Mathias Soeken, Luca Gaetano Amarù, Heinz Riener, Eleonora Testa

ASSOC COMPUTING MACHINERY2018

Exact Synthesis for Logic Synthesis Applications with Complex Constraints

Giovanni De Micheli, Mathias Soeken, Eleonora Testa

Exact synthesis is the problem of finding logic networks that represent given Boolean functions and respect given constraints. With exact synthesis it is possible to find optimum networks, e.g., in size or depth; consequently, it primarily finds applicatio ...

2017

RM3 based logic synthesis

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Mathias Soeken

In-memory computing devices, such as resistive RAMs, natively implement material implication or a variant of the majority-of-three operation called RM3. This operation generalizes material implication and has been used as target operation in sev ...

IEEE2017

Exploiting Satisfiability Solvers for Efficient Logic Synthesis

Ana Petkovska

Logic synthesis is an important part of electronic design automation (EDA) flows, which enable the implementation of digital systems. As the design size and complexity increase, the data structures and algorithms for logic synthesis must adapt and improve ...

EPFL2017

Applications of Approximate Learning and Inference for Probabilistic Models

Young Jun Ko

We develop approximate inference and learning methods for facilitating the use of probabilistic modeling techniques motivated by applications in two different areas. First, we consider the ill-posed inverse problem of recovering an image from an underdeter ...

EPFL2017

On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development

Marzieh Razavi

State-of-the-art automatic speech recognition (ASR) and text-to-speech systems require a pronunciation lexicon that maps each word to a sequence of phones. Manual development of lexicons is costly as it needs linguistic knowledge and human expertise. To fa ...

EPFL2017

Probabilistic Derivation of Spatiotemporal Correlation Functions in the Hydrodynamic Limit

Sara Bonella

In this paper, we use probability theory to prove in suitable conditions the equivalence of equilibrium time correlation functions of microscopic density fields with the time correlation functions of local macroscopic density fields evolved by hydrodynamic ...

Amer Chemical Soc2016