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2020 – today
- 2024
[j49]Carlos Pinzón
, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the incompatibility of accuracy and equal opportunity. Mach. Learn. 113(5): 2405-2434 (2024)- [j48]Georg Pichler, Marco Romanelli, Leonardo Rey Vega, Pablo Piantanida:
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 4290-4296 (2024) - [j47]Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida:
Preserving Privacy in GANs Against Membership Inference Attack. IEEE Trans. Inf. Forensics Secur. 19: 1728-1743 (2024) - [j46]Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida:
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. Trans. Mach. Learn. Res. 2024 (2024) - [c144]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. AAAI 2024: 17880-17888 - [c143]Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida:
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. ACL (1) 2024: 12696-12717 - [c142]Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie Chi Kit Cheung:
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. ACL (1) 2024: 12737-12752 - [c141]Federica Granese, Marco Romanelli, Pablo Piantanida:
Optimal Zero-Shot Detector for Multi-Armed Attacks. AISTATS 2024: 2467-2475 - [c140]Corentin Presvôts, Michel Kieffer, Thibault Prevost, Patrick Panciatici, Zuxing Li, Pablo Piantanida:
Two-stage Multiple-Model Compression Approach for Sampled Electrical Signals. DCC 2024: 522-531 - [c139]Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida:
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. ICLR 2024 - [c138]Andrés Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida:
Beyond the Norms: Detecting Prediction Errors in Regression Models. ICML 2024 - [i121]Lautaro Estienne, Roberta Hansen, Matías Vera, Luciana Ferrer, Pablo Piantanida:
On the Convergence of Semi Unsupervised Calibration through Prior Adaptation Algorithm. CoRR abs/2401.03051 (2024) - [i120]Federica Granese, Marco Romanelli, Pablo Piantanida:
Optimal Zero-Shot Detector for Multi-Armed Attacks. CoRR abs/2402.15808 (2024) - [i119]Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida:
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation. CoRR abs/2402.19457 (2024) - [i118]Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed:
Is Meta-training Really Necessary for Molecular Few-Shot Learning ? CoRR abs/2404.02314 (2024) - [i117]Andrés Altieri, Marco Romanelli, Georg Pichler, Florence Alberge, Pablo Piantanida:
Beyond the Norms: Detecting Prediction Errors in Regression Models. CoRR abs/2406.06968 (2024) - [i116]Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie C. K. Cheung:
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews. CoRR abs/2406.07359 (2024) - [i115]Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida:
When is an Embedding Model More Promising than Another? CoRR abs/2406.07640 (2024) - [i114]Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann:
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR abs/2406.14404 (2024) - [i113]Eduardo Dadalto, Florence Alberge, Pierre Duhamel, Pablo Piantanida:
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection. CoRR abs/2406.16045 (2024) - [i112]Matthieu Dubois, François Yvon, Pablo Piantanida:
Zero-Shot Machine-Generated Text Detection Using Mixture of Large Language Models. CoRR abs/2409.07615 (2024) - 2023
- [j45]Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Bounding information leakage in machine learning. Neurocomputing 534: 1-17 (2023) - [j44]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
The role of mutual information in variational classifiers. Mach. Learn. 112(9): 3105-3150 (2023) - [j43]Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness Via Fisher-Rao Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2698-2710 (2023) - [j42]Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo:
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. 2023 (2023) - [c137]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) 2023: 13766-13784 - [c136]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR 2023: 24007-24016 - [c135]Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
Toward Stronger Textual Attack Detectors. EMNLP (Findings) 2023: 484-505 - [c134]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP 2023: 4214-4231 - [c133]Maxime Darrin, Pablo Piantanida, Pierre Colombo:
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. EMNLP 2023: 5831-5857 - [c132]Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida:
On the (Im)Possibility of Estimating Various Notions of Differential Privacy (short paper). ICTCS 2023: 219-224 - [c131]Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida:
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) 2023: 178-183 - [c130]Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. IJCNLP (Findings) 2023: 184-198 - [i111]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - [i110]Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida:
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR abs/2302.02216 (2023) - [i109]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection. CoRR abs/2302.09852 (2023) - [i108]Eduardo Dadalto, Marco Romanelli, Georg Pichler, Pablo Piantanida:
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. CoRR abs/2306.01710 (2023) - [i107]Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. CoRR abs/2306.03522 (2023) - [i106]Eric Aubinais, Elisabeth Gassiat, Pablo Piantanida:
Fundamental Limits of Membership Inference Attacks on Machine Learning Models. CoRR abs/2310.13786 (2023) - [i105]Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification. CoRR abs/2310.13990 (2023) - [i104]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR abs/2310.13998 (2023) - [i103]Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
Toward Stronger Textual Attack Detectors. CoRR abs/2310.14001 (2023) - [i102]Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau, Pablo Piantanida:
Preserving Privacy in GANs Against Membership Inference Attack. CoRR abs/2311.03172 (2023) - 2022
- [j41]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs. Neurocomputing 507: 235-246 (2022) - [j40]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Privacy-Cost Management in Smart Meters With Mutual-Information-Based Reinforcement Learning. IEEE Internet Things J. 9(22): 22389-22398 (2022) - [j39]Kai Wan, Daniela Tuninetti, Mingyue Ji, Pablo Piantanida:
Combination Networks With End-User-Caches: Novel Achievable and Converse Bounds Under Uncoded Cache Placement. IEEE Trans. Inf. Theory 68(2): 806-827 (2022) - [j38]Jorge F. Silva, Pablo Piantanida:
On Universal D-Semifaithful Coding for Memoryless Sources With Infinite Alphabets. IEEE Trans. Inf. Theory 68(4): 2782-2800 (2022) - [c129]Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints. AAAI 2022: 7993-8000 - [c128]Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. AAAI 2022: 10554-10562 - [c127]Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Learning Disentangled Textual Representations via Statistical Measures of Similarity. ACL (1) 2022: 2614-2630 - [c126]Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Leveraging Adversarial Examples to Quantify Membership Information Leakage. CVPR 2022: 10389-10399 - [c125]Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida:
A Data-Driven Quantization Design for Distributed Testing Against Independence with Communication Constraints. ICASSP 2022: 5238-5242 - [c124]Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida:
Igeood: An Information Geometry Approach to Out-of-Distribution Detection. ICLR 2022 - [c123]Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
A Differential Entropy Estimator for Training Neural Networks. ICML 2022: 17691-17715 - [c122]Marine Picot, Francisco Javier Messina, Fabrice Labeau, Pablo Piantanida:
Robust Autoencoder-based State Estimation in Power Systems. ISGT 2022: 1-5 - [c121]Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS 2022 - [c120]Federica Granese, Marine Picot, Marco Romanelli, Francesco Messina, Pablo Piantanida:
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. ECML/PKDD (3) 2022: 286-303 - [i101]Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR abs/2202.06618 (2022) - [i100]Eduardo Dadalto Câmara Gomes, Florence Alberge, Pierre Duhamel, Pablo Piantanida:
Igeood: An Information Geometry Approach to Out-of-Distribution Detection. CoRR abs/2203.07798 (2022) - [i99]Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Leveraging Adversarial Examples to Quantify Membership Information Leakage. CoRR abs/2203.09566 (2022) - [i98]Georg Pichler, Marco Romanelli, Leonardo Rey Vega, Pablo Piantanida:
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning. CoRR abs/2203.16463 (2022) - [i97]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic Evaluation of Transductive Few-Shot Learning. CoRR abs/2204.11181 (2022) - [i96]Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Learning Disentangled Textual Representations via Statistical Measures of Similarity. CoRR abs/2205.03589 (2022) - [i95]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - [i94]Federica Granese, Marine Picot, Marco Romanelli, Francisco Messina, Pablo Piantanida:
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. CoRR abs/2206.15415 (2022) - [i93]Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida:
On the (Im)Possibility of Estimating Various Notions of Differential Privacy. CoRR abs/2208.14414 (2022) - [i92]Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida:
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR abs/2208.14585 (2022) - [i91]Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Beyond Mahalanobis-Based Scores for Textual OOD Detection. CoRR abs/2211.13527 (2022) - [i90]Maxime Darrin, Pablo Piantanida, Pierre Colombo:
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. CoRR abs/2212.09171 (2022) - [i89]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR abs/2212.09631 (2022) - 2021
- [j37]Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida:
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. IEEE Signal Process. Lett. 28: 229-233 (2021) - [j36]Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida:
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence. IEEE Trans. Signal Inf. Process. over Networks 7: 777-790 (2021) - [c119]Pierre Colombo, Pablo Piantanida, Chloé Clavel:
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. ACL/IJCNLP (1) 2021: 6539-6550 - [c118]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [c117]Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida:
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. EMNLP (1) 2021: 10450-10466 - [c116]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
Information and Regularization in Restricted Boltzmann Machines. ICASSP 2021: 3155-3159 - [c115]Ganesh Del Grosso, Georg Pichler, Pablo Piantanida:
Privacy-Preserving Synthetic Smart Meters Data. ISGT 2021: 1-5 - [c114]Meryem Benammar, Eduardo Dadalto Câmara Gomes, Pablo Piantanida:
CSI-aided Robust Neural-based Decoders. ISTC 2021: 1-5 - [c113]Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida:
DOCTOR: A Simple Method for Detecting Misclassification Errors. NeurIPS 2021: 5669-5681 - [c112]Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed:
Realistic evaluation of transductive few-shot learning. NeurIPS 2021: 9290-9302 - [c111]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Learning Sparse Privacy-Preserving Representations for Smart Meters Data. SmartGridComm 2021: 333-338 - [i88]Pierre Colombo, Chloé Clavel, Pablo Piantanida:
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. CoRR abs/2105.02685 (2021) - [i87]Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida:
Bounding Information Leakage in Machine Learning. CoRR abs/2105.03875 (2021) - [i86]Federica Granese, Marco Romanelli, Daniele Gorla, Catuscia Palamidessi, Pablo Piantanida:
DOCTOR: A Simple Method for Detecting Misclassification Errors. CoRR abs/2106.02395 (2021) - [i85]Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida:
Adversarial Robustness via Fisher-Rao Regularization. CoRR abs/2106.06685 (2021) - [i84]Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida:
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions. CoRR abs/2106.07024 (2021) - [i83]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
Mutual-Information Based Few-Shot Classification. CoRR abs/2106.12252 (2021) - [i82]Jorge F. Silva, Pablo Piantanida:
On Universal D-Semifaithful Coding for Memoryless Sources with Infinite Alphabets. CoRR abs/2107.05082 (2021) - [i81]Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the impossibility of non-trivial accuracy under fairness constraints. CoRR abs/2107.06944 (2021) - [i80]Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida:
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. CoRR abs/2108.12463 (2021) - [i79]Pierre Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. CoRR abs/2112.01589 (2021) - [i78]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
PACMAN: PAC-style bounds accounting for the Mismatch between Accuracy and Negative log-loss. CoRR abs/2112.05547 (2021) - 2020
- [j35]Alexander Bunin, Ziv Goldfeld, Haim H. Permuter, Shlomo Shamai Shitz, Paul Cuff, Pablo Piantanida:
Key and Message Semantic-Security Over State-Dependent Channels. IEEE Trans. Inf. Forensics Secur. 15: 1541-1556 (2020) - [j34]Meryem Benammar, Pablo Piantanida, Shlomo Shamai:
On the Compound Broadcast Channel: Multiple Description Coding and Interference Decoding. IEEE Trans. Inf. Theory 66(1): 38-64 (2020) - [j33]Jorge F. Silva, Pablo Piantanida:
Universal Weak Variable-Length Source Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 66(1): 649-668 (2020) - [j32]Kai Wan, Daniela Tuninetti, Pablo Piantanida:
An Index Coding Approach to Caching With Uncoded Cache Placement. IEEE Trans. Inf. Theory 66(3): 1318-1332 (2020) - [j31]Kai Wan, Daniela Tuninetti, Mingyue Ji, Giuseppe Caire, Pablo Piantanida:
Fundamental Limits of Decentralized Data Shuffling. IEEE Trans. Inf. Theory 66(6): 3616-3637 (2020) - [j30]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Real-Time Privacy-Preserving Data Release for Smart Meters. IEEE Trans. Smart Grid 11(6): 5174-5183 (2020) - [c110]Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida:
Estimating g-Leakage via Machine Learning. CCS 2020: 697-716 - [c109]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses. ECCV (6) 2020: 548-564 - [c108]Clément Feutry, Pablo Piantanida, Pierre Duhamel:
Learning Semi-Supervised Anonymized Representations by Mutual Information. ICASSP 2020: 3467-3471 - [c107]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning. ISGT-Europe 2020: 929-933 - [c106]Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida:
On Direct Distribution Matching for Adapting Segmentation Networks. MIDL 2020: 624-637 - [c105]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed:
Information Maximization for Few-Shot Learning. NeurIPS 2020 - [c104]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods. SmartGridComm 2020: 1-6 - [i77]Kai Wan, Daniela Tuninetti, Pablo Piantanida:
An Index Coding Approach to Caching with Uncoded Cache Placement. CoRR abs/2001.04810 (2020) - [i76]Georg Pichler, Pablo Piantanida, Günther Koliander:
On the Estimation of Information Measures of Continuous Distributions. CoRR abs/2002.02851 (2020) - [i75]Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed:
Metric learning: cross-entropy vs. pairwise losses. CoRR abs/2003.08983 (2020) - [i74]Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida:
Estimating g-Leakage via Machine Learning. CoRR abs/2005.04399 (2020) - [i73]Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed:
Transductive Information Maximization For Few-Shot Learning. CoRR abs/2008.11297 (2020) - [i72]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
The Role of Mutual Information in Variational Classifiers. CoRR abs/2010.11642 (2020) - [i71]Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida, Fabrice Labeau:
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release. CoRR abs/2011.11421 (2020) - [i70]Ganesh Del Grosso, Georg Pichler, Pablo Piantanida:
Privacy-Preserving Synthetic Smart Meters Data. CoRR abs/2012.04475 (2020) - [i69]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020)
2010 – 2019
- 2019
- [j29]Andrés Altieri, Pablo Piantanida:
Performance Evaluation of Advanced Relaying Protocols in Large Wireless Networks. IEEE Access 7: 22214-22226 (2019) - [j28]Germán Bassi, Pablo Piantanida, Shlomo Shamai (Shitz):
The Secret Key Capacity of a Class of Noisy Channels with Correlated Sources. Entropy 21(8): 732 (2019) - [j27]Eloi de Chérisey, Sylvain Guilley, Olivier Rioul, Pablo Piantanida:
Best Information is Most Successful Mutual Information and Success Rate in Side-Channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2019(2): 49-79 (2019) - [j26]Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
Collaborative Information Bottleneck. IEEE Trans. Inf. Theory 65(2): 787-815 (2019) - [j25]Germán Bassi, Pablo Piantanida, Shlomo Shamai Shitz:
The Wiretap Channel With Generalized Feedback: Secure Communication and Key Generation. IEEE Trans. Inf. Theory 65(4): 2213-2233 (2019) - [c103]Meryem Benammar, Pablo Piantanida:
On Robust Deep Neural Decoders. ACSSC 2019: 527-531 - [c102]