Compact Bayesian Neural Networks via pruned MCMC sampling | Paper Citation Record

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This paper cites Abdar, F.

Compact Bayesian Neural Networks via pruned MCMC sampling Abdar, F

Reference 1

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This paper cites Chandra, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Chandra, J

Reference 2

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This paper cites Chandra, K.

Compact Bayesian Neural Networks via pruned MCMC sampling Chandra, K

Reference 3

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This paper cites Gelman, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Gelman, J

Reference 4

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This paper cites Van De Schoot, S.

Compact Bayesian Neural Networks via pruned MCMC sampling Van De Schoot, S

Reference 5

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Reference 6

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Reference 7

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Reference 8

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Reference 9

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This paper cites Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference.

Compact Bayesian Neural Networks via pruned MCMC sampling Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Reference 10

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This paper cites Louizos, M.

Compact Bayesian Neural Networks via pruned MCMC sampling Louizos, M

Reference 11

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 12

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This paper cites Papamarkou, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Papamarkou, J

Reference 13

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Reference 14

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This paper cites Overpruning in Variational Bayesian Neural Networks.

Compact Bayesian Neural Networks via pruned MCMC sampling Overpruning in Variational Bayesian Neural Networks

Reference 15

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This paper cites Liang, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Liang, J

Reference 16

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Reference 17

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This paper cites 325–333 vol.1.

Compact Bayesian Neural Networks via pruned MCMC sampling 325–333 vol.1

Reference 18

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This paper cites Rawat, Z.

Compact Bayesian Neural Networks via pruned MCMC sampling Rawat, Z

Reference 19

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This paper cites Blalock, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Blalock, J

Reference 20

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 21

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This paper cites Sindhwani, T.

Compact Bayesian Neural Networks via pruned MCMC sampling Sindhwani, T

Reference 22

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 23

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This paper cites Courbariaux, Y.

Compact Bayesian Neural Networks via pruned MCMC sampling Courbariaux, Y

Reference 24

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Reference 25

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This paper cites Pruning Filters for Efficient ConvNets.

Compact Bayesian Neural Networks via pruned MCMC sampling Pruning Filters for Efficient ConvNets

Reference 26

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 27

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Reference 28

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This paper cites Stabilizing the Lottery Ticket Hypothesis.

Compact Bayesian Neural Networks via pruned MCMC sampling Stabilizing the Lottery Ticket Hypothesis

Reference 29

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This paper cites Rethinking the Value of Network Pruning.

Compact Bayesian Neural Networks via pruned MCMC sampling Rethinking the Value of Network Pruning

Reference 30

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This paper cites The State of Sparsity in Deep Neural Networks.

Compact Bayesian Neural Networks via pruned MCMC sampling The State of Sparsity in Deep Neural Networks

Reference 31

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 32

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 33

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 34

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This paper cites Schmidhuber, Learning Complex, Extended Sequences Using the Principle of History Compression, Neural Computation 4 (2) (1992) 234–242.

Compact Bayesian Neural Networks via pruned MCMC sampling Schmidhuber, Learning Complex, Extended Sequences Using the Principle of History Compression, Neural Computation 4 (2) (1992) 234–242

Reference 35

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 36

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This paper cites Distilling the Knowledge in a Neural Network.

Compact Bayesian Neural Networks via pruned MCMC sampling Distilling the Knowledge in a Neural Network

Reference 37

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 39

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Compact Bayesian Neural Networks via pruned MCMC sampling Takashima, S

Reference 40

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Compact Bayesian Neural Networks via pruned MCMC sampling Asami, R

Reference 41

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

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Compact Bayesian Neural Networks via pruned MCMC sampling TinyBERT: Distilling BERT for Natural Language Understanding

Reference 43

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This paper cites N, Dropout: A simple way to prevent neural networks from overfit- ting, Journal of Machine Learning Research 15 (1) (2014) 1929.

Compact Bayesian Neural Networks via pruned MCMC sampling N, Dropout: A simple way to prevent neural networks from overfit- ting, Journal of Machine Learning Research 15 (1) (2014) 1929

Reference 44

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 45

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 46

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 47

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 48

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This paper cites Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.

Compact Bayesian Neural Networks via pruned MCMC sampling Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

Reference 49

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 51

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 52

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

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This paper cites Graves, Practical Variational Inference for Neural Networks, in: Advances in Neural Information Processing Systems, V ol.

Compact Bayesian Neural Networks via pruned MCMC sampling Graves, Practical Variational Inference for Neural Networks, in: Advances in Neural Information Processing Systems, V ol

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Compact Bayesian Neural Networks via pruned MCMC sampling Sum, C.-s

Reference 55

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This paper cites Sharma, E.

Compact Bayesian Neural Networks via pruned MCMC sampling Sharma, E

Reference 56

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This paper cites Weight Uncertainty in Neural Networks.

Compact Bayesian Neural Networks via pruned MCMC sampling Weight Uncertainty in Neural Networks

Reference 57

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This paper cites Beckers, B.

Compact Bayesian Neural Networks via pruned MCMC sampling Beckers, B

Reference 58

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 59

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Compact Bayesian Neural Networks via pruned MCMC sampling Parayil, H

Reference 60

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Compact Bayesian Neural Networks via pruned MCMC sampling Differential Bayesian Neural Nets

Reference 61

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Compact Bayesian Neural Networks via pruned MCMC sampling G ¨urb¨uzbalaban, X

Reference 62

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This paper cites Garriga-Alonso, V.

Compact Bayesian Neural Networks via pruned MCMC sampling Garriga-Alonso, V

Reference 63

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This paper cites Chandra, L.

Compact Bayesian Neural Networks via pruned MCMC sampling Chandra, L

Reference 64

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This paper cites LeCun, J.

Compact Bayesian Neural Networks via pruned MCMC sampling LeCun, J

Reference 65

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This paper cites Hassibi, D.

Compact Bayesian Neural Networks via pruned MCMC sampling Hassibi, D

Reference 66

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This paper cites Str ¨om, Phoneme Probability Estimation with Dynamic Sparsely Connected Artificial Neural Networks, The Free Speech Journal (5) (Oct.

Compact Bayesian Neural Networks via pruned MCMC sampling Str ¨om, Phoneme Probability Estimation with Dynamic Sparsely Connected Artificial Neural Networks, The Free Speech Journal (5) (Oct

Reference 67

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Observation 81478b9a-3f5f-4d27-8593-d1efebca096b · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Compact Bayesian Neural Networks via pruned MCMC sampling To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 68

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Observation 0d4ba044-b3f2-498d-bd03-5a737fd21e81 · outbound

This paper cites Mostafa, X.

Compact Bayesian Neural Networks via pruned MCMC sampling Mostafa, X

Reference 69

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Observation ac263202-c234-4076-95bf-fb15cb6e40d0 · outbound

This paper cites Sparse Networks from Scratch: Faster Training without Losing Performance.

Compact Bayesian Neural Networks via pruned MCMC sampling Sparse Networks from Scratch: Faster Training without Losing Performance

Reference 70

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Observation 47775826-67b5-4c1c-9c6d-4aa061cea205 · outbound

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 71

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Observation 7cedb6c0-8185-4b28-8df4-90bffe3133a1 · outbound

This paper cites Frederick, M.

Compact Bayesian Neural Networks via pruned MCMC sampling Frederick, M

Reference 72

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Observation 6f748a71-8354-49fb-a8c8-3eb211a737aa · outbound

This paper cites Hoefler, D.

Compact Bayesian Neural Networks via pruned MCMC sampling Hoefler, D

Reference 73

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Observation 068e21c4-875f-444a-be03-e5db23f049bc · outbound

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 74

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Observation aab06052-3e1f-40d4-8749-9f17d3a6626f · outbound

This paper cites Zemouri, N.

Compact Bayesian Neural Networks via pruned MCMC sampling Zemouri, N

Reference 75

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Observation c4f4e040-b3ec-4514-9aed-287ce673ebf6 · outbound

This paper cites Vadera, S.

Compact Bayesian Neural Networks via pruned MCMC sampling Vadera, S

Reference 76

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Observation ac5bf6ac-040c-4838-93ec-3bc862b12d2b · outbound

This paper cites Cheng, M.

Compact Bayesian Neural Networks via pruned MCMC sampling Cheng, M

Reference 77

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Observation fbdbbee9-93ef-4ccb-9487-af5413d13abd · outbound

This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

Compact Bayesian Neural Networks via pruned MCMC sampling Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 78

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Observation f68d385b-0837-418a-8ea4-4ef4dc65f3aa · outbound

This paper cites Anwar, K.

Compact Bayesian Neural Networks via pruned MCMC sampling Anwar, K

Reference 79

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Observation d6e92fac-aabf-494c-904a-e73d0c04cd0f · outbound

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 80

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Observation 1c230928-81c0-493f-9d9e-96525348dadb · outbound

This paper cites an unresolved cited work.

Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 81

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Observation 2cb44430-90fe-44ea-a73b-d5328dde1003 · outbound

This paper cites Mantzaris, G.

Compact Bayesian Neural Networks via pruned MCMC sampling Mantzaris, G

Reference 82

Resolution: verified exact; doi, observed 2026-08-10T20:55:24.903395Z

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Observation 095e3994-0cc9-491b-90dc-ce26273d1fff · outbound

This paper cites Poyatos, D.

Compact Bayesian Neural Networks via pruned MCMC sampling Poyatos, D

Reference 83

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Observation 3c211297-046b-40ef-b6ea-ce6d2ee4b58d · outbound

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Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 84

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Observation 22aaa350-3610-4ae3-be25-b2da6b08c000 · outbound

This paper cites Cant ´u-Paz, Pruning neural networks with distribution estimation algorithms, in: Genetic and Evolutionary Computation Conference, Springer, 2003, pp.

Compact Bayesian Neural Networks via pruned MCMC sampling Cant ´u-Paz, Pruning neural networks with distribution estimation algorithms, in: Genetic and Evolutionary Computation Conference, Springer, 2003, pp

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.590822Z

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Observation 97e13011-f419-4699-b9a6-a7eefbb33892 · outbound

This paper cites Yang, Y .-P.

Compact Bayesian Neural Networks via pruned MCMC sampling Yang, Y .-P

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.594429Z

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Observation 6eb85057-4437-4711-86eb-96cac7a56133 · outbound

This paper cites an unresolved cited work.

Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 87

Resolution: verified exact; doi, observed 2026-08-10T20:55:24.884911Z

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Observation b8a0738d-83ac-415f-8dcc-57c0c84d8ee0 · outbound

This paper cites an unresolved cited work.

Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 88

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Observation 465076cc-5a9d-494b-af89-4780981467e2 · outbound

This paper cites an unresolved cited work.

Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 89

Resolution: verified exact; doi, observed 2026-08-10T20:55:24.872127Z

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Observation d56931d5-204c-45d9-8540-2883d10e9f5d · outbound

This paper cites Structured Bayesian Pruning via Log-Normal Multiplicative Noise.

Compact Bayesian Neural Networks via pruned MCMC sampling Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:55:24.861418Z

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Observation 632273df-5423-471c-bbf2-59084bbfec13 · outbound

This paper cites van Baalen, C.

Compact Bayesian Neural Networks via pruned MCMC sampling van Baalen, C

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.613460Z

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Observation 688f7756-9bcb-41e5-b2c4-9187eecce1a0 · outbound

This paper cites Pruning a neural network using Bayesian inference.

Compact Bayesian Neural Networks via pruned MCMC sampling Pruning a neural network using Bayesian inference

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:55:24.845002Z

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Observation 417ee8e4-4ac8-46f0-941f-3d643787dc16 · outbound

This paper cites Stochastic extension of the Lanczos method for nuclear shell-model calculations with variational Monte Carlo method.

Compact Bayesian Neural Networks via pruned MCMC sampling Stochastic extension of the Lanczos method for nuclear shell-model calculations with variational Monte Carlo method

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.620639Z

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Observation bd1740d9-e487-4437-afe4-675ea8618292 · outbound

This paper cites Vladimirova, J.

Compact Bayesian Neural Networks via pruned MCMC sampling Vladimirova, J

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.623863Z

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Observation e1d508de-69d9-442b-88d4-93e0adb1d316 · outbound

This paper cites Izmailov, S.

Compact Bayesian Neural Networks via pruned MCMC sampling Izmailov, S

Reference 95

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Observation c5004186-bcb4-4859-aed6-b4fac9942ed0 · outbound

This paper cites Chandra, M.

Compact Bayesian Neural Networks via pruned MCMC sampling Chandra, M

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:27.017838Z

Source-reported events for the cited work

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Observation 4996aee2-c4ee-416d-b1f0-2455dc393b2d · outbound

This paper cites Chandra, A.

Compact Bayesian Neural Networks via pruned MCMC sampling Chandra, A

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:27.004434Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 508a885a-068c-4e51-be78-0f5d8364e7e8 · outbound

This paper cites Kapoor, A.

Compact Bayesian Neural Networks via pruned MCMC sampling Kapoor, A

Reference 98

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:55:25.679127Z

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Observation 276cad0d-1dc5-4525-9ae6-1eac94f4718d · outbound

This paper cites an unresolved cited work.

Compact Bayesian Neural Networks via pruned MCMC sampling Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:24.642309Z

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Observation 42a79e4f-725a-4b73-9a2a-25583e56a50a · outbound

This paper cites Gelman, D.

Compact Bayesian Neural Networks via pruned MCMC sampling Gelman, D

Reference 100

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:55:24.646765Z

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