Publications related to A bottom-up stochastic model to predict building occupants' time-dependent activities

Scalable Byzantine Reliable Broadcast

Rachid Guerraoui, Dragos-Adrian Seredinschi, Matej Pavlovic, Matteo Monti

Byzantine reliable broadcast is a powerful primitive that allows a set of processes to agree on a message from a designated sender, even if some processes (including the sender) are Byzantine. Existing broadcast protocols for this setting scale poorly, as ...

Schloss Dagstuhl--Leibniz-Zentrum fer Informatik2019

Blockage of driftwood and resulting head increase upstream of an ogee spillway with piers

Anton Schleiss, Michael Pfister, José Pedro Gamito de Saldanha Calado Matos, Paloma Furlan

Accumulations of floating debris in reservoirs can have negative impacts on the safe operation of a dam. Thus, adequate spillway design in view of driftwood is of paramount importance. Herein, investigation of driftwood blockage with a reservoir flow appro ...

Canadian Dam Association2019

Quantifying Commitment in Nash Equilibria

Thomas Alois Weber

To quantify a player's commitment in a given Nash equilibrium of a finite dynamic game, we map the corresponding normal-form game to a "canonical extension," which allows each player to adjust his or her move with a certain probability. The commitment meas ...

2019

A simple landscape of metastable state energies for two-dimensional cellular matter

Sangwoo Kim

The mechanical behavior of cellular matter in two dimensions can be inferred from geometric information near its energetic ground state. Here it is shown that the much larger set of all metastable state energies is universally described by a systematic exp ...

2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Influence of density of large stems on the blocking probability at spillways

Anton Schleiss, Michael Pfister, José Pedro Gamito de Saldanha Calado Matos, Paloma Furlan

Dam safety is strongly linked to the probability of occurrence of large floods. Floods can transport large wood (LW) into reservoirs and towards water release structures as spillways. Due to blocking and clogging, LW may significantly influence the dischar ...

Utah State University2018

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

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Sylvain Calinon, Ajay Kumar Tanwani, Swati Krishnan

Generalizing manipulation skills to new situations requires extracting invariant patterns from demonstrations. For example, the robot needs to understand the demonstrations at a higher level while being invariant to the appearance of the objects, geometric ...

2018

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Alfio Quarteroni, Francesco Regazzoni

We propose a reduced ODE model for the mechanical activation of cardiac myofilaments, which is based on explicit spatial representation of nearest-neighbour interactions. Our model is derived from the cooperative Markov Chain model of Washio et al. (Cell M ...

SPRINGER HEIDELBERG2018

Control synthesis for stochastic systems given automata specifications defined by stochastic sets

Maryam Kamgarpour, John Lygeros, Tony Alan Wood

The problem of control synthesis to maximize the probability of satisfying automata specifications for systems with uncertainty is addressed. Two types of uncertainty are considered; stochasticity in the dynamical system and in the sets defining the specif ...

2017

A bottom-up stochastic model to predict building occupants' time-dependent activities

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Scalable Byzantine Reliable Broadcast

Blockage of driftwood and resulting head increase upstream of an ogee spillway with piers

Quantifying Commitment in Nash Equilibria

A simple landscape of metastable state energies for two-dimensional cellular matter

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Influence of density of large stems on the blocking probability at spillways

Efficient Learning from Comparisons

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Control synthesis for stochastic systems given automata specifications defined by stochastic sets

Scalable Byzantine Reliable Broadcast

Influence of density of large stems on the blocking probability at spillways

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Control synthesis for stochastic systems given automata specifications defined by stochastic sets

Quantifying Commitment in Nash Equilibria

A simple landscape of metastable state energies for two-dimensional cellular matter

Efficient Learning from Comparisons

Blockage of driftwood and resulting head increase upstream of an ogee spillway with piers

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models