Israeli Systems Workshop – September 25, 2024 Accepted Posters
We are delighted to announce the posters that have been accepted to the Israeli Systems Workshop 2024
Cheap & Fast File-aaS for AI by Combining Scale-out Virtiofs, Block layouts and Delegations
File service Supply & Demand forces are changing: on the demand side, AI has significantly increased single-tenant File-aaS performance requirements.
AP cooperation in Wi-Fi: Joint transmission with a novel precoding scheme, resilient to phase offsets between transmitters
Multi Access-Point (M-AP) cooperation is expected to play a key role in the next-generation Wi-Fi standard (namely the upcoming IEEE WLAN 802.11bn/UHR, dubbed Wi-Fi-8), particularly in dense deployments where inter-cell interference hinders further increase in network capacity.
Active Learning via Predictive Normalized Maximum Likelihood Minimization
Machine learning systems require massive amounts of labeled training data in order to achieve high accuracy rates. Active learning uses feedback to label the most informative data points and significantly reduce the training set size.
A Balanced Distributed Cascode Power Amplifier With an Integrated Chebyshev Load Balancer for Full-Duplex Wireless Operation
This work proposes a fully integrated transmitter front end based on a balanced distributed cascode power amplifier (BDC-PA) and a passive second-order reconfigurable reflective self-interference cancellation (SIC) filter for full-duplex wireless applications. The balanced topology provides inherent passive transmit–receive (TX–RX)...
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
Text-image retrieval (T2I) refers to the task of recovering all images relevant to a keyword query. Popular datasets for text-image retrieval, such as Flickr30k, VG, or MS-COCO, utilize annotated image captions, e.g., “a man playing with a kid”, as a...
LINEAR LOG-NORMAL ATTENTION WITH UNBIASED CONCENTRATION
Transformer models have achieved remarkable results in a wide range of applications. However, their scalability is hampered by the quadratic time and memory complexity of the self-attention mechanism concerning the sequence length.
Non-magnetic four-port electronic circulators based on 90∘ non-reciprocal phase-shifters
This paper presents a family of four-port electronic circulators adhering to a new topology symmetry that enables linear, low-loss transistor-based circuit implementations. The underlying principle of operation employs a property of the 90∘ non-reciprocal phase shifter (NRPS) derived in this article. Under...
Rotation Invariant Quantization for Model Compression
Post-training Neural Network (NN) model compression is an attractive approach for deploying large, memory-consuming models on devices with limited memory resources. In this study, we investigate the rate-distortion tradeoff for NN model compression.