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Successive cancellation (SC) process is an essential component of various decoding algorithms used for polar codes and their variants. Rewinding this process seems trivial if we have access to all intermediate log-likelihood ratios (LLRs)…

Information Theory · Computer Science 2021-09-23 Mohammad Rowshan , Emanuele Viterbo

This paper studies second-order coding rates for memoryless channels with a state sequence known non-causally at the encoder. In the case of finite alphabets, an achievability result is obtained using constant-composition random coding, and…

Information Theory · Computer Science 2013-11-13 Jonathan Scarlett

A diffusion molecular channel is a channel with memory, as molecules released into the medium hit the receptors after a random delay. Coding over the diffusion channel is performed by choosing the type, intensity, or the released time of…

Modern and future processors need to remain functionally correct in the presence of permanent faults to sustain scaling benefits and limit field returns. This paper presents a combined analytical and microarchitectural simulation-based…

Performance · Computer Science 2022-06-24 Panagiota Nikolaou , Yiannakis Sazeides , Maria K. Michael

External fragmentation of physical memory occurs when adjacent differently sized regions of allocated physical memory are freed at different times, causing free memory to be physically discontiguous. It can significantly degrade system…

Operating Systems · Computer Science 2024-01-09 Mark Mansi , Michael M. Swift

Marker code is an effective coding scheme to protect data from insertions and deletions. It has potential applications in future storage systems, such as DNA storage and racetrack memory. When decoding marker codes, perfect channel state…

Information Theory · Computer Science 2025-02-11 Guochen Ma , Xiaopeng Jiao , Jianjun Mu , Hui Han , Yaming Yang

Erasure codes play an important role in storage systems to prevent data loss. In this work, we study a class of erasure codes called Multi-Erasure Locally Recoverable Codes (ME-LRCs) for flash memory array. Compared to previous related…

Information Theory · Computer Science 2017-01-24 Pengfei Huang , Eitan Yaakobi , Paul H. Siegel

High capacity and scalable memory systems play a vital role in enabling our desktops, smartphones, and pervasive technologies like Internet of Things (IoT). Unfortunately, memory systems are becoming increasingly prone to faults. This is…

Hardware Architecture · Computer Science 2019-09-04 Prashant J. Nair

This dissertation develops hardware that automatically reduces the effective latency of accessing memory in both single-core and multi-core systems. To accomplish this, the dissertation shows that all last level cache misses can be…

Hardware Architecture · Computer Science 2016-09-02 Milad Hashemi

We propose a computational model of neuron, called firing cell (FC), properties of which cover such phenomena as attenuation of receptors for external stimuli, delay and decay of postsynaptic potentials, modification of internal weights due…

Neural and Evolutionary Computing · Computer Science 2017-04-24 Jacek Bialowas , Beata Grzyb , Pawel Poszumski

In this work, we study two-party interactive coding for adversarial noise, when both parties have limited memory. We show how to convert any adaptive protocol $\Pi$ into a protocol $\Pi'$ that is robust to an $\epsilon$-fraction of…

Information Theory · Computer Science 2024-08-14 Dorsa Fathollahi , Bernhard Haeupler , Nicolas Resch , Mary Wootters

In medical imaging, technical progress or changes in diagnostic procedures lead to a continuous change in image appearance. Scanner manufacturer, reconstruction kernel, dose, other protocol specific settings or administering of contrast…

Machine Learning · Computer Science 2020-07-08 Johannes Hofmanninger , Matthias Perkonigg , James A. Brink , Oleg Pianykh , Christian Herold , Georg Langs

A generalization of the Gaussian dirty-paper problem to a multiple access setup is considered. There are two additive interference signals, one known to each transmitter but none to the receiver. The rates achievable using Costa's…

Information Theory · Computer Science 2009-04-14 Tal Philosof , Ram Zamir , Uri Erez , Ashish Khisti

Learning from corrupted labels is very common in real-world machine-learning applications. Memorizing such noisy labels could affect the learning of the model, leading to sub-optimal performances. In this work, we propose a novel framework…

Machine Learning · Computer Science 2023-12-20 Yu Wang , Xin Xin , Zaiqiao Meng , Joemon Jose , Fuli Feng

Scaling conditional memory offers a promising way to increase language-model capacity, but existing methods such as Engram learn large memory tables from scratch during pre-training, making memory scaling expensive and sometimes…

Computation and Language · Computer Science 2026-05-21 Runxi Cheng , Yuchen Guan , Yongxian Wei , Qianpu Sun , Qixiu Li , Sinan Du , Feng Xiong , Chun Yuan , Yan Lu , Yeyun Gong

Error correction code (ECC) is an integral part of the physical communication layer, ensuring reliable data transfer over noisy channels. Recently, neural decoders have demonstrated their advantage over classical decoding techniques.…

Information Theory · Computer Science 2022-09-28 Yoni Choukroun , Lior Wolf

Recent progress towards theoretical interpretability guarantees for AI has been made with classifiers that are based on interactive proof systems. A prover selects a certificate from the datapoint and sends it to a verifier who decides the…

Machine Learning · Computer Science 2023-06-08 Stephan Wäldchen

Raw bit errors are common in NAND flash memory and will increase in the future. These errors reduce flash reliability and limit the lifetime of a flash memory device. We aim to improve flash reliability with a multitude of low-cost…

Hardware Architecture · Computer Science 2018-08-16 Yixin Luo

The idea of using metaplastic synapses to incorporate the separate storage of long- and short-term memories via an array of hidden states was put forward in the cascade model of Fusi et al. In this paper, we devise and investigate two…

Disordered Systems and Neural Networks · Physics 2011-09-26 A. Mehta , J. M. Luck

Atomic frequency comb (AFC) quantum memory is a favorable protocol in long distance quantum communication. Putting the AFC inside an asymmetric optical cavity enhances the storage efficiency but makes the measurement of the comb properties…