Concept
Computer chess
Related publications (47)
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
Semantic segmentation datasets often exhibit two types of imbalance: \textit{class imbalance}, where some classes appear more frequently than others and \textit{size imbalance}, where some objects occupy more pixels than others. This causes traditional eva ...
2023An Analysis of Super-Net Heuristics in Weight-Sharing NAS
Weight sharing promises to make neural architecture search (NAS) tractable even on commodity hardware. Existing methods in this space rely on a diverse set of heuristics to design and train the shared-weight backbone network, a.k.a. the super-net. Since he ...
IEEE COMPUTER SOC2022Practical Byzantine-resilient Stochastic Gradient Descent
Sébastien Louis Alexandre Rouault
Algorithms are everywhere.The recipe for the frangipane cake is an algorithm.If all the listed ingredients are available and the cook is sufficiently deft, after a finite number of small, well-defined steps a delicious dessert will exit the oven.Now, what ...
EPFL2022ExG Signal Feature Selection Using Hyperdimensional Computing Encoding
David Atienza Alonso, Tomas Teijeiro Campo, Una Pale
Wearable IoT devices and novel continuous monitoring algorithms are essential components of the healthcare transition from reactive interventions focused on symptom treatment to more proactive prevention, from one-size-fits-all to personalized medicine, an ...
IEEE2022Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias
Alexandre Schmid, Lizeth Gonzalez Carabarin
Wearable solutions based on Deep Learning (DL) for real-time ECG monitoring are a promising alternative to detect life-threatening arrhythmias. However, DL models suffer of a large memory footprint, which hampers their adoption in portable technologies. Th ...
IEEE2021Microwave-to-Optical Transduction with Gallium Phosphide Electro-Optomechanical Devices
Quantum computing is one of the great scientific challenges of the 21st century. Small-scalesystems today promise to surpass classical computers in the coming years and to enable thesolution of classically intractable computational tasks in the fields of q ...
EPFL2021Multi-robot task allocation for safe planning against stochastic hazard dynamics
Maryam Kamgarpour, Orcun Karaca
This paper considers the problem of multi-robot safe mission planning in uncertain dynamic environments. This problem arises in several applications including safety-critical exploration, surveillance, and emergency rescue missions. Computation of a multi- ...
2021Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis
Ali H. Sayed, Stefan Vlaski, Roula Nassif
Part & x00A0;I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing
Giovanni De Micheli, Samuel Bosch, Mohsen Imani
Brain-inspired Hyperdimensional (HD) computing is a promising solution for energy-efficient classification. However, the existing HD computing algorithms have a lack of controllability on the training iterations which often results in slow training or dive ...
2019