Publications related to Optimized Packet Scheduling in Multiview Video Navigation Systems

Minimum Cost Intervention Design for Causal Effect Identification

Negar Kiyavash, Sina Akbari, Seyed Jalal Etesami

Pearl's do calculus is a complete axiomatic approach to learn the identifiable causal effects from observational data. When such an effect is not identifiable, it is necessary to perform a collection of often costly interventions in the system to learn the ...

PMLR2022

Over-the-Air Computation via Reconfigurable Intelligent Surface

Yuning Jiang, Wei Chen

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property of multiple-access channels. However, the performance of AirComp is bott ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

François Maréchal, Ivan Daniel Kantor, Julia Granacher

Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of reliable design solutions difficult. We propose an algorithm fo ...

2021

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Giovanni De Micheli, Massimiliano Di Ventra

As demands for computing have been continuously increasing, various solutions have been proposed. Some approaches deal with improving algorithms and software programs, mainly through the tuning of advanced heuristics and learning methods. Some other tackle ...

2020

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

René Uwe Schneider, Marcello Farina

In modern engineering systems, reliability and safety can be conferred by efficient automatic monitoring and fault detection algorithms, allowing for the early identification and isolation of incipient faults. In case of large-scale and complex systems, sc ...

2020

Sampling can be faster than optimization

Nicolas Henri Bernard Flammarion

Optimization algorithms and Monte Carlo sampling algorithms have provided the computational foundations for the rapid growth in applications of statistical machine learning in recent years. There is, however, limited theoretical understanding of the relati ...

PNAS2019

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Arman Iranfar

Real-time video transcoding has recently raised as a valid alternative to address the ever-increasing demand for video contents in servers' infrastructures in current multi-user environments. High Efficiency Video Coding (HEVC) makes efficient online trans ...

IEEE2019

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Pascal Frossard, Laura Toni, Chenglin Li

Dynamic adaptive streaming addresses user heterogeneity by providing multiple encoded representations at different rates and/or resolutions for the same video content. For delay-sensitive applications, such as live streaming, there is however a stringent r ...

IEEE2018

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Pascal Frossard, Laura Toni

Interactive multiview video streaming (IMVS) services permit to remotely navigate within a 3D scene with an immersive experience. This is possible by transmitting a set of reference camera views (anchor views), which are used by the clients to freely navig ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Optimized Packet Scheduling in Multiview Video Navigation Systems

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Minimum Cost Intervention Design for Causal Effect Identification

Over-the-Air Computation via Reconfigurable Intelligent Surface

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Sampling can be faster than optimization

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Over-the-Air Computation via Reconfigurable Intelligent Surface

Minimum Cost Intervention Design for Causal Effect Identification

Iterative distributed fault detection and isolation for linear systems based on moving horizon estimation

Sampling can be faster than optimization

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Roundtable Panel Discussion at DAC 2019: Evolutionary Computing or Heuristic Forever?

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Delay-Power-Rate-Distortion Optimization of Video Representations for Dynamic Adaptive Streaming

Optimal Representations for Adaptive Streaming in Interactive Multiview Video Systems

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding