Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression | Paper Citation Record

Observation 27148a3b-9a9e-4394-b765-69f0f4eab4eb · outbound

This paper cites Deep learning,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Deep learning,

Reference 1

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This paper cites Deep residual learning for image recognition,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Deep residual learning for image recognition,

Reference 2

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This paper cites You only look once: Unified, real -time object detection,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression You only look once: Unified, real -time object detection,

Reference 3

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This paper cites Imagenet classification with deep convolutional neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Imagenet classification with deep convolutional neural networks,

Reference 4

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This paper cites End to End Learning for Self-Driving Cars.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression End to End Learning for Self-Driving Cars

Reference 5

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This paper cites Sequence to Sequence Learning with Neural Networks.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Sequence to Sequence Learning with Neural Networks

Reference 6

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Unresolved cited work

Reference 8

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This paper cites Cardiologist -level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Cardiologist -level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,

Reference 9

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This paper cites Large -scale pancreatic cancer detection via non -contrast CT and deep learning,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Large -scale pancreatic cancer detection via non -contrast CT and deep learning,

Reference 10

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This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 11

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This paper cites Language models are few -shot learners,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Language models are few -shot learners,

Reference 12

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This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Harnessing the power of llms in practice: A survey on chatgpt and beyond,

Reference 13

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Observation 58c6cdd7-5e9b-4304-9fe4-460e646895f7 · outbound

This paper cites Optimizing FPGA-based accelerator design for deep convolutional neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Optimizing FPGA-based accelerator design for deep convolutional neural networks,

Reference 14

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This paper cites A high performance FPGA -based accelerator for large -scale convolutional neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression A high performance FPGA -based accelerator for large -scale convolutional neural networks,

Reference 15

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

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression In -datacenter performance analysis of a tensor processing unit,

Reference 16

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This paper cites More than moore,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression More than moore,

Reference 17

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This paper cites Towards atomic and close-to-atomic scale manufacturing,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Towards atomic and close-to-atomic scale manufacturing,

Reference 18

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This paper cites Reinventing High Performance Computing: Challenges and Opportunities.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Reinventing High Performance Computing: Challenges and Opportunities

Reference 19

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This paper cites Circnn: accelerating and compressing deep neural networks using block -circulant weight matrices,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Circnn: accelerating and compressing deep neural networks using block -circulant weight matrices,

Reference 20

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This paper cites Equivalent-accuracy accelerated neural-network training using analogue memory,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Equivalent-accuracy accelerated neural-network training using analogue memory,

Reference 21

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This paper cites Analogue signal and image processing with large memristor crossbars,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Analogue signal and image processing with large memristor crossbars,

Reference 22

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This paper cites Deep learning with coherent nanophotonic circuits,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Deep learning with coherent nanophotonic circuits,

Reference 23

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This paper cites Neuromorphic photonic networks using silicon photonic weight banks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Neuromorphic photonic networks using silicon photonic weight banks,

Reference 24

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This paper cites Parallel convolutional processing using an integrated photonic tensor core,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Parallel convolutional processing using an integrated photonic tensor core,

Reference 25

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This paper cites Photonic -electronic integrated circuits for high -performance computing and ai 19 accelerators,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Photonic -electronic integrated circuits for high -performance computing and ai 19 accelerators,

Reference 26

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This paper cites 11 TOPS photonic convolutional accelerator for optical neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression 11 TOPS photonic convolutional accelerator for optical neural networks,

Reference 27

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Large -scale photonic chiplet Taichi empowers 160 -TOPS/W artificial general intelligence,

Reference 28

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression All -optical spiking neurosynaptic networks with self -learning capabilities,

Reference 29

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This paper cites Compressing the CNN architecture for in -air handwritten Chinese character recognition,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Compressing the CNN architecture for in -air handwritten Chinese character recognition,

Reference 30

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This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 31

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 32

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Speeding up Convolutional Neural Networks with Low Rank Expansions

Reference 33

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Convolutional neural networks with low-rank regularization

Reference 34

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Efficient Recurrent Neural Networks using Structured Matrices in FPGAs

Reference 35

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This paper cites Massively parallel amplitude -only Fourier neural network,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Massively parallel amplitude -only Fourier neural network,

Reference 36

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This paper cites A compact butterfly-style silicon photonic–electronic neural chip for hardware-efficient deep learning,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression A compact butterfly-style silicon photonic–electronic neural chip for hardware-efficient deep learning,

Reference 37

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This paper cites Theoretical properties for neural networks with weight matrices of low displacement rank,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Theoretical properties for neural networks with weight matrices of low displacement rank,

Reference 38

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Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression High performance convolutional neural networks for document processing,

Reference 39

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This paper cites Caffe: Convolutional architecture for fast feature embedding,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Caffe: Convolutional architecture for fast feature embedding,

Reference 40

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This paper cites Efficient training and design of photonic neural network through neuroevolution,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Efficient training and design of photonic neural network through neuroevolution,

Reference 41

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This paper cites Deep physical neural networks trained with backpropagation,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Deep physical neural networks trained with backpropagation,

Reference 42

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This paper cites Hybrid training of optical neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Hybrid training of optical neural networks,

Reference 43

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This paper cites Fully forward mode training for optical neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Fully forward mode training for optical neural networks,

Reference 44

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This paper cites Single -chip photonic deep neural network with forward -only training,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Single -chip photonic deep neural network with forward -only training,

Reference 45

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Observation 37c41dc6-6e7d-4cb9-9ec2-f71677ffc836 · outbound

This paper cites Experimental extraction of effective refractive index and thermo- optic coefficients of silicon-on-insulator waveguides using interferometers,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Experimental extraction of effective refractive index and thermo- optic coefficients of silicon-on-insulator waveguides using interferometers,

Reference 46

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Observation 1575a0e5-8582-42cb-a5c8-ab00f734cc3b · outbound

This paper cites Van, Optical microring resonators: theory, techniques, and applications (CRC Press, 2016).

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Van, Optical microring resonators: theory, techniques, and applications (CRC Press, 2016)

Reference 47

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Observation ef196e05-89b3-4e00-9072-c4e1b6af4a5e · outbound

This paper cites Delocalized photonic deep learning on the internet’s edge,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Delocalized photonic deep learning on the internet’s edge,

Reference 48

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Observation 3a52908d-cf40-485d-9e60-5f23e35faf79 · outbound

This paper cites Si microring resonator crossbar array for on-chip inference and training of the optical neural network,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Si microring resonator crossbar array for on-chip inference and training of the optical neural network,

Reference 49

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Observation f94b5233-c87f-4afb-9436-41c35c0b7ccb · outbound

This paper cites Realization of an integrated photonic platform for coherent photo - electric processing,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Realization of an integrated photonic platform for coherent photo - electric processing,

Reference 50

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Observation bfc184ae-f033-4d0f-bd23-73716d2afa1b · outbound

This paper cites SqueezeLight: Towards scalable optical neural networks with multi -operand ring resonators,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression SqueezeLight: Towards scalable optical neural networks with multi -operand ring resonators,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.387483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1837db6-61d8-4a7c-9337-2a9b3eab756c · outbound

This paper cites Covid-qu-ex dataset,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Covid-qu-ex dataset,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.372090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a29a9405-a36c-49db-be1a-e942647dc9df · outbound

This paper cites APSUNY process design kit (PDKv3. 0): O, C and L band silicon photonics component libraries on 300mm wafers,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression APSUNY process design kit (PDKv3. 0): O, C and L band silicon photonics component libraries on 300mm wafers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.354582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f16c5b29-1126-48b7-a54e-13d0781272cc · outbound

This paper cites Optimization and demonstration of a large-bandwidth carrier-depletion silicon optical modulator,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Optimization and demonstration of a large-bandwidth carrier-depletion silicon optical modulator,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.337014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation abee64d3-c659-42fd-98a0-4e60fe06b24c · outbound

This paper cites Heterogeneously integrated iii–v/si mos capacitor mach–zehnder modulator,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Heterogeneously integrated iii–v/si mos capacitor mach–zehnder modulator,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.321421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 18425a5f-1ddf-4d59-aa78-666748c3d7ab · outbound

This paper cites Kihara, S.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Kihara, S

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.306696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71f73d2b-91f4-4885-963d-d8f8f949ac1b · outbound

This paper cites Post -fabrication trimming of silicon photonic ring resonators at wafer - scale,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Post -fabrication trimming of silicon photonic ring resonators at wafer - scale,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.290061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d3139ca3-07b3-4818-8178-cd0d514ed58b · outbound

This paper cites https://www.alphacoreinc.com/adc -analog-to-digital-converters/ (accessed 2024-10-20).

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression https://www.alphacoreinc.com/adc -analog-to-digital-converters/ (accessed 2024-10-20)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.274298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f77ec849-16bb-46c0-b8b1-3a75b2db1420 · outbound

This paper cites A 53 -Gbit/s optical receiver frontend with 0.65 pJ/bit in 28 -nm bulk-CMOS,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression A 53 -Gbit/s optical receiver frontend with 0.65 pJ/bit in 28 -nm bulk-CMOS,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.258078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 875321c8-9af7-4185-8cc3-f3c8c4ccb476 · outbound

This paper cites Photonic multiply-accumulate operations for neural networks,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Photonic multiply-accumulate operations for neural networks,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.242264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ec39ae6d-dae5-47d0-beb1-c23504b25c52 · outbound

This paper cites High-Q and high finesse silicon microring resonator,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression High-Q and high finesse silicon microring resonator,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.225407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d32f537-2efa-4e0c-8dfc-d3d39cd03e22 · outbound

This paper cites High -Q silica microdisk optical resonators with large wedge angles on a silicon chip,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression High -Q silica microdisk optical resonators with large wedge angles on a silicon chip,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.208380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d9aab56-8e3d-4709-a727-03af8aff4c3e · outbound

This paper cites Dry -etched ultrahigh-Q silica microdisk resonators on a silicon chip,.

Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression Dry -etched ultrahigh-Q silica microdisk resonators on a silicon chip,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:54:12.192085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Outbound references

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