Geometric and Information Compression of Representations in Deep Learning | Paper Citation Record

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This paper cites IEEE transactions on pattern analysis and machine intelligence40(12), 2897–2905 (2018).

Geometric and Information Compression of Representations in Deep Learning IEEE transactions on pattern analysis and machine intelligence40(12), 2897–2905 (2018)

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This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Geometric and Information Compression of Representations in Deep Learning In: The Eleventh International Conference on Learning Representations (2023)

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This paper cites Advances in Neural Information Processing Systems35, 17626–17638 (2022).

Geometric and Information Compression of Representations in Deep Learning Advances in Neural Information Processing Systems35, 17626–17638 (2022)

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This paper cites In: International Conference on Learning Representations (2017).

Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2017)

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence42(9), 2225–2239 (2019).

Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Pattern Analysis and Machine Intelligence42(9), 2225–2239 (2019)

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This paper cites In: International Conference on Learning Representations (2018).

Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2018)

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Geometric and Information Compression of Representations in Deep Learning Unresolved cited work

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This paper cites Advances in Neural Information Processing Systems31(2018).

Geometric and Information Compression of Representations in Deep Learning Advances in Neural Information Processing Systems31(2018)

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This paper cites In: Advances in Neural Information Processing Systems.

Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems

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This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

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This paper cites In: International Conference on Machine Learning.

Geometric and Information Compression of Representations in Deep Learning In: International Conference on Machine Learning

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This paper cites In: International conference on machine learning.

Geometric and Information Compression of Representations in Deep Learning In: International conference on machine learning

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This paper cites Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.

Geometric and Information Compression of Representations in Deep Learning Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Reference 13

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This paper cites In: Proc.

Geometric and Information Compression of Representations in Deep Learning In: Proc

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This paper cites Entropy22(9), 999 (2020).

Geometric and Information Compression of Representations in Deep Learning Entropy22(9), 999 (2020)

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This paper cites In: International Conference on Learning Representations (2021).

Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2021)

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Geometric and Information Compression of Representations in Deep Learning In: International conference on machine learning

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Geometric and Information Compression of Representations in Deep Learning Entropy22(11), 1229 (Nov 2020), open-access

Reference 18

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This paper cites IEEE Transactions on Neural Networks and Learning Systems33(12), 7039–7051 (Dec 2022).

Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Neural Networks and Learning Systems33(12), 7039–7051 (Dec 2022)

Reference 19

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This paper cites Journal of Machine Learning Research3(Mar), 1307–1331 (2003).

Geometric and Information Compression of Representations in Deep Learning Journal of Machine Learning Research3(Mar), 1307–1331 (2003)

Reference 20

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This paper cites In: International Conference on Machine Learning (2019).

Geometric and Information Compression of Representations in Deep Learning In: International Conference on Machine Learning (2019)

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This paper cites Advances in neural information processing systems30(2017).

Geometric and Information Compression of Representations in Deep Learning Advances in neural information processing systems30(2017)

Reference 22

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Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems (2025)

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Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Geometric and Information Compression of Representations in Deep Learning In: Proceedings of the IEEE conference on computer vision and pattern recognition

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Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2019)

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Geometric and Information Compression of Representations in Deep Learning In: Interna- tional Conference on Learning Representations (2016)

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Geometric and Information Compression of Representations in Deep Learning In: International Conference on Learning Representations (2019)

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Geometric and Information Compression of Representations in Deep Learning Birkhäuser Boston, MA (2012)

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Geometric and Information Compression of Representations in Deep Learning Proceedings of the IEEE86(11), 2278–2324 (1998)

Reference 30

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Geometric and Information Compression of Representations in Deep Learning In: The 22nd international conference on artificial intelligence and statistics

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Geometric and Information Compression of Representations in Deep Learning In: Pro- ceedings of the 2022 SIAM International Conference on Data Mining (SDM)

Reference 32

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Geometric and Information Compression of Representations in Deep Learning In: International Conference on Artificial Intelligence and Statistics

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Geometric and Information Compression of Representations in Deep Learning In: Advances in Neural Information Processing Systems

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Geometric and Information Compression of Representations in Deep Learning Representation Learning with Contrastive Predictive Coding

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Geometric and Information Compression of Representations in Deep Learning Proceedings of the National Academy of Sciences117(40), 24652–24663 (2020)

Reference 36

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Geometric and Information Compression of Representations in Deep Learning In: ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling (2026)

Reference 37

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Geometric and Information Compression of Representations in Deep Learning In: Workshop on Machine Learning and Compression @ NeurIPS (2024)

Reference 38

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Geometric and Information Compression of Representations in Deep Learning Advances in neural information processing systems34, 18420–18432 (2021)

Reference 39

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This paper cites Multi-Task Variational Information Bottleneck.

Geometric and Information Compression of Representations in Deep Learning Multi-Task Variational Information Bottleneck

Reference 40

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Geometric and Information Compression of Representations in Deep Learning IEEE Transactions on Information Forensics and Security18, 2060–2075 (2023)

Reference 41

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Reference 42

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Geometric and Information Compression of Representations in Deep Learning Explaining grokking and information bottleneck through neural collapse emergence

Reference 43

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Geometric and Information Compression of Representations in Deep Learning In: Proc

Reference 44

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Geometric and Information Compression of Representations in Deep Learning Opening the Black Box of Deep Neural Networks via Information

Reference 45

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Geometric and Information Compression of Representations in Deep Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 46

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Geometric and Information Compression of Representations in Deep Learning In: Workshop on Machine Learning and Compression @ NeurIPS (2024)

Reference 47

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Geometric and Information Compression of Representations in Deep Learning The journal of machine learning research15(1), 1929–1958 (2014)

Reference 48

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Geometric and Information Compression of Representations in Deep Learning Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 49

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Geometric and Information Compression of Representations in Deep Learning Differential and Combinatorial Topology, Princeton Univ Press pp

Reference 50

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Geometric and Information Compression of Representations in Deep Learning In: British Machine Vision Conference 2016

Reference 51

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Geometric and Information Compression of Representations in Deep Learning logistic

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Geometric and Information Compression of Representations in Deep Learning 1(a)), which indicates that noise causes class-specific distributions to overlap

Reference 59

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Geometric and Information Compression of Representations in Deep Learning 1(a)), which indicates that samples from the same class are mapped closely in latent space, at least via the deterministic part ofµ(x)of the encoder

Reference 60

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