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pro vyhledávání: '"Frumkin A"'
State Space Models (SSMs) have emerged as an appealing alternative to Transformers for large language models, achieving state-of-the-art accuracy with constant memory complexity which allows for holding longer context lengths than attention-based net
Externí odkaz:
http://arxiv.org/abs/2410.13229
Recent advances in manipulating droplet emissions from a thin vibrating fluid using submerged cavities, have introduced an innovative platform for generating hydrodynamic analogs of quantum and optical systems. This platform unlocks unique features n
Externí odkaz:
http://arxiv.org/abs/2408.02620
Autor:
Elgarisi, Mor, Luria, Omer, Katzman, Yotam, Widerker, Daniel, Frumkin, Valeri, Bercovici, Moran
Limited access to corrective eyewear remains a significant medical, societal, and economic challenge, even in the 21st century. More than 1 billion people suffer from uncorrected vision impairment, with the vast majority residing in developing countr
Externí odkaz:
http://arxiv.org/abs/2406.10067
Quantization scale and bit-width are the most important parameters when considering how to quantize a neural network. Prior work focuses on optimizing quantization scales in a global manner through gradient methods (gradient descent \& Hessian analys
Externí odkaz:
http://arxiv.org/abs/2308.10814
Autor:
Frumkin, Valeri, Bush, John W. M.
Interaction-free measurement is thought to allow for quantum particles to detect objects along paths they never traveled. As such, it represents one of the most beguiling of quantum phenomena. Here, we present a classical analog of interaction-free m
Externí odkaz:
http://arxiv.org/abs/2306.13590
Autor:
Luria, Omer, Elgarisi, Mor, Frumkin, Valeri, Razin, Alexey, Ericson, Jonathan, Gommed, Khaled, Widerker, Daniel, Gabay, Israel, Belikov, Ruslan, Bookbinder, Jay, Balaban, Edward, Bercovici, Moran
In the absence of gravity, surface tension dominates over the behavior of liquids. While this often poses a challenge in adapting Earth-based technologies to space, it can also provide an opportunity for novel technologies that utilize its advantages
Externí odkaz:
http://arxiv.org/abs/2212.08139
Transfer learning on edge is challenging due to on-device limited resources. Existing work addresses this issue by training a subset of parameters or adding model patches. Developed with inference in mind, Inverted Residual Blocks (IRBs) split a conv
Externí odkaz:
http://arxiv.org/abs/2212.03246
Autor:
Shamsi, Zahra, Bryant, Drew, Wilson, Jacob, Qu, Xiaoyu, Dubey, Avinava, Kothari, Konik, Dehghani, Mostafa, Chavarha, Mariya, Likhosherstov, Valerii, Williams, Brian, Frumkin, Michael, Appelbaum, Fred, Choromanski, Krzysztof, Bashir, Ali, Fang, Min
Chromosome analysis is essential for diagnosing genetic disorders. For hematologic malignancies, identification of somatic clonal aberrations by karyotype analysis remains the standard of care. However, karyotyping is costly and time-consuming becaus
Externí odkaz:
http://arxiv.org/abs/2211.14312
When considering post-training quantization, prior work has typically focused on developing a mixed precision scheme or learning the best way to partition a network for quantization. In our work, CPT-V, we look at a general way to improve the accurac
Externí odkaz:
http://arxiv.org/abs/2211.09643
Autor:
Frumkin, Valeri, Gokhale, Shreyas
We present an experimental study of quasiperiodic transitions between a highly ordered square-lattice pattern and a disordered, defect-riddled state, in a circular Faraday system. We show that the transition is driven initially by a long-wave amplitu
Externí odkaz:
http://arxiv.org/abs/2210.10881