Spectral fluctuations and crossovers in multilayer network | Paper Citation Record

Observation 3301b22d-0ad4-4cbd-9d30-dad7686d59f6 · outbound

This paper cites Tensorflow: a system for large-scale machine learning,.

Spectral fluctuations and crossovers in multilayer network Tensorflow: a system for large-scale machine learning,

Reference 1

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This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Spectral fluctuations and crossovers in multilayer network Pytorch: An imperative style, high-performance deep learning library,

Reference 2

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Observation c195f29c-12c5-4f08-a8be-e3d60c6a915e · outbound

This paper cites A survey of recommendation systems: recommendation models, techniques, and application fields,.

Spectral fluctuations and crossovers in multilayer network A survey of recommendation systems: recommendation models, techniques, and application fields,

Reference 3

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This paper cites Tiirec: A tensor approach for tag-driven item recommendation with sparse user generated content,.

Spectral fluctuations and crossovers in multilayer network Tiirec: A tensor approach for tag-driven item recommendation with sparse user generated content,

Reference 4

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Observation 18db8ebf-d57f-4f22-a47f-7c7c192a819e · outbound

This paper cites Hierarchical analysis of power distribution networks,.

Spectral fluctuations and crossovers in multilayer network Hierarchical analysis of power distribution networks,

Reference 5

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Observation 115c5ec6-0526-4fd7-ab58-079b4a4ead68 · outbound

This paper cites Feasta: A flexible and efficient accelerator for sparse tensor algebra in machine learning,.

Spectral fluctuations and crossovers in multilayer network Feasta: A flexible and efficient accelerator for sparse tensor algebra in machine learning,

Reference 6

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Observation 6f451acb-d70c-45a1-a1e5-f0898021c130 · outbound

This paper cites Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,.

Spectral fluctuations and crossovers in multilayer network Eyeriss: An energy- efficient reconfigurable accelerator for deep convolutional neural net- works,

Reference 7

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Observation 963f2f1d-fce5-4866-b0a3-341ceae8d386 · outbound

This paper cites Cnvlutin: Ineffectual-neuron-free deep neural network computing,.

Spectral fluctuations and crossovers in multilayer network Cnvlutin: Ineffectual-neuron-free deep neural network computing,

Reference 8

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Observation 8db6ac8b-c01d-4fb9-ab3e-9ef76523946b · outbound

This paper cites Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,.

Spectral fluctuations and crossovers in multilayer network Eyeriss v2: A flexible accelerator for emerging deep neural networks on mobile devices,

Reference 9

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Observation e292e20c-90e9-4203-92c5-90647fc2e4cc · outbound

This paper cites Extensor: An accelerator for sparse tensor algebra,.

Spectral fluctuations and crossovers in multilayer network Extensor: An accelerator for sparse tensor algebra,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.648941Z

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Observation 917643a2-477f-479a-9af0-b198e699ca4e · outbound

This paper cites Matraptor: A sparse-sparse matrix multiplication accelerator based on row-wise product,.

Spectral fluctuations and crossovers in multilayer network Matraptor: A sparse-sparse matrix multiplication accelerator based on row-wise product,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.615848Z

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Observation b8012fe1-5437-475a-8e3a-a8717f9eed4d · outbound

This paper cites Gospa: An energy- efficient high-performance globally optimized sparse convolutional neu- ral network accelerator,.

Spectral fluctuations and crossovers in multilayer network Gospa: An energy- efficient high-performance globally optimized sparse convolutional neu- ral network accelerator,

Reference 12

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Observation 43a92534-ef24-4f7e-bc92-98aa73c70641 · outbound

This paper cites Outerspace: An outer product based sparse matrix multiplication accelerator,.

Spectral fluctuations and crossovers in multilayer network Outerspace: An outer product based sparse matrix multiplication accelerator,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.544809Z

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Observation f235991f-1a8e-46cf-a3b5-6ec49f7e0e80 · outbound

This paper cites Scnn: An accelerator for compressed-sparse convolutional neural networks,.

Spectral fluctuations and crossovers in multilayer network Scnn: An accelerator for compressed-sparse convolutional neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.506081Z

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Observation d55fe6f2-1289-40d4-ae73-618c19087e68 · outbound

This paper cites Sigma: A sparse and irregular gemm ac- celerator with flexible interconnects for dnn training,.

Spectral fluctuations and crossovers in multilayer network Sigma: A sparse and irregular gemm ac- celerator with flexible interconnects for dnn training,

Reference 15

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Observation 1bcaa119-6dd6-477e-9d0d-86cb6f24651c · outbound

This paper cites Sparten: A sparse tensor accelerator for convolutional neural networks,.

Spectral fluctuations and crossovers in multilayer network Sparten: A sparse tensor accelerator for convolutional neural networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.421796Z

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Observation d1216d08-31ab-48fe-8b8d-e9de8b489896 · outbound

This paper cites Sparsity-aware and re-configurable npu architecture for samsung flagship mobile soc,.

Spectral fluctuations and crossovers in multilayer network Sparsity-aware and re-configurable npu architecture for samsung flagship mobile soc,

Reference 17

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Observation f6e22e17-1f5a-4bc2-a667-eb0102e7d3a9 · outbound

This paper cites Sparseloop: An analytical, energy-focused design space exploration methodology for sparse tensor accelerators,.

Spectral fluctuations and crossovers in multilayer network Sparseloop: An analytical, energy-focused design space exploration methodology for sparse tensor accelerators,

Reference 18

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Observation fd5627b9-81dd-49a9-97c2-1d907b629de9 · outbound

This paper cites NVDLA Deep Learning Accelerator,.

Spectral fluctuations and crossovers in multilayer network NVDLA Deep Learning Accelerator,

Reference 19

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Observation 2db94fb8-4af1-4476-9fd8-b671a24a067f · outbound

This paper cites Nvidia a100 tensor core gpu architecture,.

Spectral fluctuations and crossovers in multilayer network Nvidia a100 tensor core gpu architecture,

Reference 20

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Observation e8852aaf-bbe2-421f-a351-4a68597f9e97 · outbound

This paper cites A low-power general matrix multiplication acceler- ator with sparse weight-and-output stationary dataflow,.

Spectral fluctuations and crossovers in multilayer network A low-power general matrix multiplication acceler- ator with sparse weight-and-output stationary dataflow,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.304441Z

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Observation 6e953c4e-1f90-4d48-bba5-b373f82322e7 · outbound

This paper cites Sparch: Efficient architecture for sparse matrix multiplication,.

Spectral fluctuations and crossovers in multilayer network Sparch: Efficient architecture for sparse matrix multiplication,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.272048Z

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Observation 7934cd24-ad83-46f6-af02-8a7d5e2e5a18 · outbound

This paper cites Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,.

Spectral fluctuations and crossovers in multilayer network Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.247543Z

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Observation 04f5fe0b-e29a-41d8-900f-fb0d79af4627 · outbound

This paper cites Gamma: automating the hw mapping of dnn models on accelerators via genetic algorithm,.

Spectral fluctuations and crossovers in multilayer network Gamma: automating the hw mapping of dnn models on accelerators via genetic algorithm,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.211592Z

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Observation 5acef8f2-d94e-42f2-b45f-1575b9449952 · outbound

This paper cites Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning,.

Spectral fluctuations and crossovers in multilayer network Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.174904Z

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Observation ca78a0ff-91a6-435b-abd5-08cc3025e8c2 · outbound

This paper cites Towards an auto- tuning system design for optimal sparse compression format selection with user expertise,.

Spectral fluctuations and crossovers in multilayer network Towards an auto- tuning system design for optimal sparse compression format selection with user expertise,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.142937Z

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Observation eee65595-089c-401f-ad2f-933df6657a96 · outbound

This paper cites Cdpu: Co-designing compression and decompression processing units for hyperscale sys- tems,.

Spectral fluctuations and crossovers in multilayer network Cdpu: Co-designing compression and decompression processing units for hyperscale sys- tems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.104197Z

Source-reported events for the cited work

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Observation 9adbb885-3d87-4fe9-ad93-16a70ebb74cf · outbound

This paper cites Extending sparse tensor accelerators to support multiple compression formats,.

Spectral fluctuations and crossovers in multilayer network Extending sparse tensor accelerators to support multiple compression formats,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.062945Z

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Observation 42429ed8-c297-4548-8efa-ccc1d8212edf · outbound

This paper cites Medea: A multi-objective evolutionary approach to dnn hardware mapping,.

Spectral fluctuations and crossovers in multilayer network Medea: A multi-objective evolutionary approach to dnn hardware mapping,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:39.017758Z

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Observation a1636e64-c4a4-4998-90ef-9990e576ecd9 · outbound

This paper cites Learning by playing solving sparse reward tasks from scratch,.

Spectral fluctuations and crossovers in multilayer network Learning by playing solving sparse reward tasks from scratch,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.984627Z

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Observation e44ce8df-e4ff-4b13-ae50-ce7f5db73183 · outbound

This paper cites Dealing with Sparse Rewards in Reinforcement Learning.

Spectral fluctuations and crossovers in multilayer network Dealing with Sparse Rewards in Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.815966Z

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Observation 1b029c95-37b5-401c-a83e-b1dcb508ccaf · outbound

This paper cites Dual- side sparse tensor core,.

Spectral fluctuations and crossovers in multilayer network Dual- side sparse tensor core,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.826079Z

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Observation 9a5e16d1-14fa-452a-a546-1f653dec4adf · outbound

This paper cites An overview of data compression techniques,.

Spectral fluctuations and crossovers in multilayer network An overview of data compression techniques,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.893869Z

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Observation 5d14b0af-3808-4056-a69c-504f050cfc15 · outbound

This paper cites [Online].

Spectral fluctuations and crossovers in multilayer network [Online]

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.858830Z

Source-reported events for the cited work

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Observation cd268939-c14d-4216-a471-9e947dbff452 · outbound

This paper cites Integrated particle swarm optimization (i-pso): An adaptive design space exploration framework for power- performance tradeoff in architectural synthesis,.

Spectral fluctuations and crossovers in multilayer network Integrated particle swarm optimization (i-pso): An adaptive design space exploration framework for power- performance tradeoff in architectural synthesis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.820833Z

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Observation 75512641-81b5-4729-a08b-6aa7bdd78711 · outbound

This paper cites Autonomous design of noise- mitigating structures using deep reinforcement learning,.

Spectral fluctuations and crossovers in multilayer network Autonomous design of noise- mitigating structures using deep reinforcement learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.785955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 206bf1bc-afb2-4144-9787-8952ddc6e343 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii,.

Spectral fluctuations and crossovers in multilayer network A fast and elitist multiobjective genetic algorithm: Nsga-ii,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.890104Z

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Observation 8fb25c97-5659-4a00-a4f6-d6bc9dfe3be3 · outbound

This paper cites Automated docking using a lamarckian genetic algorithm and an empirical binding free energy function,.

Spectral fluctuations and crossovers in multilayer network Automated docking using a lamarckian genetic algorithm and an empirical binding free energy function,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.713756Z

Source-reported events for the cited work

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Observation fa564f48-ffbd-4e80-b724-a8db986c9f29 · outbound

This paper cites Develop- ment and validation of a genetic algorithm for flexible docking,.

Spectral fluctuations and crossovers in multilayer network Develop- ment and validation of a genetic algorithm for flexible docking,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.665775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1936b3ee-eb7c-4b2e-83f9-db2deb3c24bf · outbound

This paper cites Multiobjective optimization using nondominated sorting in genetic algorithms,.

Spectral fluctuations and crossovers in multilayer network Multiobjective optimization using nondominated sorting in genetic algorithms,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.625220Z

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Observation 7491282e-a612-4f18-a1d9-de1a5b397927 · outbound

This paper cites Genetic algorithms in search, optimization and machine learning,.

Spectral fluctuations and crossovers in multilayer network Genetic algorithms in search, optimization and machine learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.591780Z

Source-reported events for the cited work

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Observation 0b9f32d2-256a-4ac3-86c1-276280aefbbe · outbound

This paper cites Mitchell, An introduction to genetic algorithms.

Spectral fluctuations and crossovers in multilayer network Mitchell, An introduction to genetic algorithms

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.952789Z

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Observation 5f907264-b08d-436e-ae1d-a4d1efa77cd1 · outbound

This paper cites Gene expression programming: A survey,.

Spectral fluctuations and crossovers in multilayer network Gene expression programming: A survey,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.525835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f7d3f0b-0936-4044-98de-fc08df35ebae · outbound

This paper cites A review of population initial- ization techniques for evolutionary algorithms,.

Spectral fluctuations and crossovers in multilayer network A review of population initial- ization techniques for evolutionary algorithms,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:37.968190Z

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Unavailable: canonical work link unavailable.

Observation 667bd2e2-1b99-4c96-a051-34be81174f0c · outbound

This paper cites Initialization strategies and diversity in evolutionary timetabling,.

Spectral fluctuations and crossovers in multilayer network Initialization strategies and diversity in evolutionary timetabling,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.444239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84bbce06-c421-4be8-b4c9-717355d1946f · outbound

This paper cites Natural evolutionary strategies for variational quantum computation,.

Spectral fluctuations and crossovers in multilayer network Natural evolutionary strategies for variational quantum computation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.409905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c6b692f-cbaf-472a-b8e0-0a44f6fc42d9 · outbound

This paper cites An advanced initialization technique for metaheuristic optimization: a fusion of latin hypercube sampling and evolutionary behaviors,.

Spectral fluctuations and crossovers in multilayer network An advanced initialization technique for metaheuristic optimization: a fusion of latin hypercube sampling and evolutionary behaviors,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.369550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39d42876-5b57-41ee-93b8-8057e446d85e · outbound

This paper cites Latin hypercube initialization strategy for design space exploration of deep neural network architectures,.

Spectral fluctuations and crossovers in multilayer network Latin hypercube initialization strategy for design space exploration of deep neural network architectures,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.333286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf99cff0-79d5-4f08-9a92-66107af3fc4e · outbound

This paper cites The initialization of evolutionary multi- objective optimization algorithms,.

Spectral fluctuations and crossovers in multilayer network The initialization of evolutionary multi- objective optimization algorithms,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.294038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da68bd34-2659-4959-baa2-0e7d0e175fb3 · outbound

This paper cites A multistrategy differential evolution algorithm combined with latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement,.

Spectral fluctuations and crossovers in multilayer network A multistrategy differential evolution algorithm combined with latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T17:19:38.246419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ec7b2d9-2c3e-4526-8fc7-35a2fad0bed3 · outbound

This paper cites an unresolved cited work.

Spectral fluctuations and crossovers in multilayer network Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:38.038600Z

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Observation e1a21f8f-b948-4302-bbe6-eced416a5d9d · outbound

This paper cites In-datacenter performance analysis of a tensor processing unit,.

Spectral fluctuations and crossovers in multilayer network In-datacenter performance analysis of a tensor processing unit,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:38.050071Z

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Observation 17fb0ba1-d11f-4eab-b96b-a97b1047e2be · outbound

This paper cites Sparsegpt: Massive language models can be accurately pruned in one-shot,.

Spectral fluctuations and crossovers in multilayer network Sparsegpt: Massive language models can be accurately pruned in one-shot,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:38.059397Z

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