Barbier, Jean
3787  Ergebnisse:
Personensuche X
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2

Fundamental limits in structured principal component analys..:

Barbier, Jean ; Camilli, Francesco ; Mondelli, Marco.
Proceedings of the National Academy of Sciences.  120 (2023)  30 - p. , 2023
 
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3

Capacity-Achieving Sparse Regression Codes via Vector Appro..:

, In: 2023 IEEE International Symposium on Information Theory (ISIT),
Xu, Yizhou ; Liu, YuHao ; Liang, ShanSuo... - p. 785-790 , 2023
 
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4

Mismatched estimation of non-symmetric rank-one matrices co..:

, In: 2023 IEEE International Symposium on Information Theory (ISIT),
Fu, Teng ; Liu, YuHao ; Barbier, Jean... - p. 1178-1183 , 2023
 
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5

Sparse superposition codes under VAMP decoding with generic..:

, In: 2022 IEEE International Symposium on Information Theory (ISIT),
Hou, TianQi ; Liu, YuHao ; Fu, Teng. - p. 1372-1377 , 2022
 
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7

Strong Replica Symmetry in High-Dimensional Optimal Bayesia..:

Barbier, Jean ; Panchenko, Dmitry
Communications in Mathematical Physics.  393 (2022)  3 - p. 1199-1239 , 2022
 
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8

Information theoretic limits of learning a sparse rule:

Luneau, Clément ; Macris, Nicolas ; Barbier, Jean
Journal of Statistical Mechanics: Theory and Experiment.  2022 (2022)  4 - p. 044001 , 2022
 
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9

Sparse superposition codes with rotational invariant coding..:

, In: 2022 IEEE Information Theory Workshop (ITW),
Liu, YuHao ; Fu, Teng ; Barbier, Jean. - p. 267-272 , 2022
 
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10

Strong replica symmetry for high-dimensional disordered log..:

Barbier, Jean ; Panchenko, Dmitry ; Sáenz, Manuel
Information and Inference: A Journal of the IMA.  11 (2021)  3 - p. 1079-1108 , 2021
 
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11

Mutual information for low-rank even-order symmetric tensor..:

Luneau, Clément ; Barbier, Jean ; Macris, Nicolas
Information and Inference: A Journal of the IMA.  10 (2020)  4 - p. 1167-1207 , 2020
 
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12

High-dimensional rank-one nonsymmetric matrix decomposition..:

, In: 2020 IEEE International Symposium on Information Theory (ISIT),
Luneau, Clement ; Macris, Nicolas ; Barbier, Jean - p. 2646-2651 , 2020
 
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13

Overlap matrix concentration in optimal Bayesian inference:

Barbier, Jean
Information and Inference: A Journal of the IMA.  10 (2020)  2 - p. 597-623 , 2020
 
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14

Information-theoretic limits of a multiview low-rank symmet..:

, In: 2020 IEEE International Symposium on Information Theory (ISIT),
Barbier, Jean ; Reeves, Galen - p. 2771-2776 , 2020
 
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15

Optimal errors and phase transitions in high-dimensional ge..:

Barbier, Jean ; Krzakala, Florent ; Macris, Nicolas..
Proceedings of the National Academy of Sciences of the United States of America.  116 (2019)  12 - p. 5451-5460 , 2019
 
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