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ORCIDMichael Gastpar
Michael C. Gastpar
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- affiliation: EFPL Lausanne, Switzerland
- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
[c159]Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Fantastic Generalization Measures are Nowhere to be Found. ICLR 2024- [c158]Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar:
LASER: Linear Compression in Wireless Distributed Optimization. ICML 2024 - [c157]Theresa Stadler, Bogdan Kulynych, Michael Gastpar, Nicolas Papernot, Carmela Troncoso:
The Fundamental Limits of Least-Privilege Learning. ICML 2024 - [c156]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) 2024: 1-6 - [c155]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Variational Characterizations of Sibson's α-Mutual Information. ISIT 2024: 2110-2115 - [c154]Michael Gastpar, Aayush Rajesh:
The Persuasion Bottleneck. ISIT 2024: 2472-2477 - [c153]Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar:
Properties of the Strong Data Processing Constant for Rényi Divergence. ISIT 2024: 3178-3183 - [c152]Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu:
Simultaneous Computation and Communication over MAC. ISIT 2024: 3350-3355 - [c151]Marco Bondaschi, Michael Gastpar:
Batch Universal Prediction. ISIT 2024: 3552-3557 - [i95]Matthias Frey
, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu:
Simultaneous Computation and Communication over MAC. CoRR abs/2401.16751 (2024) - [i94]Marco Bondaschi, Michael Gastpar:
Batch Universal Prediction. CoRR abs/2402.03901 (2024) - [i93]Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar:
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR abs/2402.04161 (2024) - [i92]Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso:
The Fundamental Limits of Least-Privilege Learning. CoRR abs/2402.12235 (2024) - [i91]Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar:
Properties of the Strong Data Processing Constant for Rényi Divergence. CoRR abs/2403.10656 (2024) - [i90]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Characterising directed and undirected metrics of high-order interdependence. CoRR abs/2404.07140 (2024) - [i89]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Sibson's α-Mutual Information and its Variational Representations. CoRR abs/2405.08352 (2024) - [i88]Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar:
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR abs/2406.03072 (2024) - [i87]Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim:
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR abs/2407.15504 (2024) - [i86]Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva:
Transformers on Markov Data: Constant Depth Suffices. CoRR abs/2407.17686 (2024) - [i85]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - [i84]Michael Gastpar, Erixhen Sula:
Shannon Bounds for Quadratic Rate-Distortion Problems. CoRR abs/2409.14822 (2024) - [i83]Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Which Algorithms Have Tight Generalization Bounds? CoRR abs/2410.01969 (2024) - [i82]Fernando E. Rosas, Aaron Gutknecht, Pedro A. M. Mediano, Michael Gastpar:
Characterising high-order interdependence via entropic conjugation. CoRR abs/2410.10485 (2024) - 2023
- [j72]Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. IEEE Trans. Inf. Theory 69(1): 1-46 (2023) - [c150]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. COLT 2023: 4952-4976 - [c149]Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
Distributed Lossy Computation with Structured Codes: From Discrete to Continuous Sources. ISIT 2023: 1681-1686 - [c148]Aditya Pradeep, Michael Gastpar:
Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data. ISIT 2023: 2272-2277 - [i81]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR abs/2302.14518 (2023) - [i80]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
Lower Bounds on the Bayesian Risk via Information Measures. CoRR abs/2303.12497 (2023) - [i79]Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Fantastic Generalization Measures are Nowhere to be Found. CoRR abs/2309.13658 (2023) - [i78]Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael C. Gastpar:
LASER: Linear Compression in Wireless Distributed Optimization. CoRR abs/2310.13033 (2023) - 2022
- [j71]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. 40(3): 725-728 (2022) - [j70]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 40(3): 729-748 (2022) - [j69]Erixhen Sula, Michael Gastpar:
The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources. IEEE Trans. Inf. Theory 68(2): 1369-1384 (2022) - [j68]Arda Atalik, Alper Köse, Michael Gastpar:
Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise. IEEE Trans. Signal Process. 70: 4851-4866 (2022) - [c147]Arda Atalik, Alper Köse, Michael Gastpar:
The Price of Distributed: Rate Loss in the CEO Problem. CISS 2022: 125-130 - [c146]Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina:
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. ICLR 2022 - [c145]Amedeo Roberto Esposito, Michael Gastpar:
From Generalisation Error to Transportation-cost Inequalities and Back. ISIT 2022: 294-299 - [c144]Marco Bondaschi, Michael Gastpar:
Alpha-NML Universal Predictors. ISIT 2022: 468-473 - [c143]Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. ISIT 2022: 1106-1111 - [c142]Erixhen Sula, Michael Gastpar:
Shannon Bounds on Lossy Gray-Wyner Networks. ISIT 2022: 1414-1419 - [c141]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
On Sibson's α-Mutual Information. ISIT 2022: 2904-2909 - [c140]Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. ISIT 2022: 3055-3060 - [i77]Erixhen Sula, Michael Gastpar:
Shannon Bounds on Lossy Gray-Wyner Networks. CoRR abs/2202.01260 (2022) - [i76]Arda Atalik, Alper Köse, Michael Gastpar:
The Price of Distributed: Rate Loss in the CEO Problem. CoRR abs/2202.01489 (2022) - [i75]Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. CoRR abs/2202.02557 (2022) - [i74]Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar:
On Sibson's α-Mutual Information. CoRR abs/2202.03951 (2022) - [i73]Amedeo Roberto Esposito, Michael Gastpar:
From Generalisation Error to Transportation-cost Inequalities and Back. CoRR abs/2202.03956 (2022) - [i72]Marco Bondaschi, Michael Gastpar:
Alpha-NML Universal Predictors. CoRR abs/2202.12737 (2022) - [i71]Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. CoRR abs/2206.13257 (2022) - 2021
- [j67]Erixhen Sula, Michael C. Gastpar:
Common Information Components Analysis. Entropy 23(2): 151 (2021) - [j66]Adriano Pastore, Michael Gastpar:
Locally Differentially-Private Randomized Response for Discrete Distribution Learning. J. Mach. Learn. Res. 22: 132:1-132:56 (2021) - [j65]Su Li, Michael Gastpar:
On Calculating the Minimum Rate for the Cooperative Data Exchange Problem Over Fully Connected Networks. IEEE Trans. Commun. 69(9): 5817-5827 (2021) - [j64]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage. IEEE Trans. Inf. Theory 67(8): 4986-5004 (2021) - [c139]Amedeo Roberto Esposito, Michael Gastpar:
Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information. ISIT 2021: 748-753 - [c138]Erixhen Sula, Michael Gastpar:
Lower bound on relaxed Wyner's Common Information. ISIT 2021: 1510-1515 - [c137]Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's $\alpha$ -Mutual Information. ISIT 2021: 1796-1801 - [c136]Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
A Discretization Approach to Compute-Forward. ISIT 2021: 2208-2213 - [c135]Arda Atalik, Alper Köse, Michael Gastpar:
Differential Entropy of the Conditional Expectation under Gaussian Noise. ITW 2021: 1-6 - [c134]M. Bora Dogan, Michael Gastpar:
Lower Bounds on the Expected Excess Risk Using Mutual Information. ITW 2021: 1-6 - [i70]Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar:
On conditional Sibson's α-Mutual Information. CoRR abs/2102.00720 (2021) - [i69]Erixhen Sula, Michael Gastpar:
Lower bound on Wyner's Common Information. CoRR abs/2102.08157 (2021) - [i68]Arda Atalik, Alper Köse, Michael Gastpar:
Entropy of the Conditional Expectation under Gaussian Noise. CoRR abs/2106.04677 (2021) - [i67]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR abs/2108.00026 (2021) - [i66]Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar:
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. CoRR abs/2110.00132 (2021) - [i65]Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina:
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. CoRR abs/2111.02155 (2021) - 2020
- [j63]Erixhen Sula, Michael Gastpar, Gerhard Kramer:
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback. IEEE Trans. Inf. Theory 66(5): 2860-2871 (2020) - [j62]Giel J. Op 't Veld, Michael Gastpar:
Caching (Bivariate) Gaussians. IEEE Trans. Inf. Theory 66(10): 6150-6168 (2020) - [j61]Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations. IEEE Trans. Inf. Theory 66(10): 6242-6255 (2020) - [c133]Su Li, Michael Gastpar:
Converse for Multi-Server Single-Message PIR with Side Information. CISS 2020: 1-6 - [c132]Erixhen Sula, Michael Gastpar:
The Gaussian lossy Gray-Wyner network. CISS 2020: 1-6 - [c131]Pinar Sen, Michael Gastpar, Young-Han Kim:
Successive Refinement to Caching for Dynamic Requests. ISIT 2020: 1711-1716 - [c130]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Robust Generalization via f-Mutual Information. ISIT 2020: 2723-2728 - [c129]Michael Gastpar, Erixhen Sula:
Common Information Components Analysis. ITA 2020: 1-5 - [c128]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW 2020: 1-5 - [i64]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Robust Generalization via $α$-Mutual Information. CoRR abs/2001.06399 (2020) - [i63]Michael Gastpar, Erixhen Sula:
Common Information Components Analysis. CoRR abs/2002.00779 (2020) - [i62]Erixhen Sula, Michael Gastpar:
The Gaussian lossy Gray-Wyner network. CoRR abs/2002.01348 (2020) - [i61]Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar:
Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR abs/2010.07382 (2020)
2010 – 2019
- 2019
- [j60]Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar:
Compute-Forward Multiple Access (CFMA): Practical Implementations. IEEE Trans. Commun. 67(2): 1133-1147 (2019) - [j59]Jingge Zhu, Sung Hoon Lim, Michael Gastpar:
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding. IEEE Trans. Inf. Theory 65(1): 292-301 (2019) - [j58]Krishnan Eswaran, Michael Gastpar:
Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power. IEEE Trans. Inf. Theory 65(7): 4486-4498 (2019) - [j57]Saeid Sahraei, Pierre Quinton, Michael Gastpar:
The Optimal Memory-Rate Trade-Off for the Non-Uniform Centralized Caching Problem With Two Files Under Uncoded Placement. IEEE Trans. Inf. Theory 65(12): 7756-7770 (2019) - [c127]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Strengthened Information-theoretic Bounds on the Generalization Error. ISIT 2019: 582-586 - [c126]Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
Towards an Algebraic Network Information Theory: Distributed Lossy Computation of Linear Functions. ISIT 2019: 1827-1831 - [c125]Pinar Sen, Michael Gastpar:
Successive Refinement to Caching for Dynamic Content. ISIT 2019: 2484-2488 - [c124]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Learning and Adaptive Data Analysis via Maximal Leakage. ITW 2019: 1-5 - [c123]Michael Gastpar, Erixhen Sula:
Relaxed Wyner's Common Information. ITW 2019: 1-5 - [i60]Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding. CoRR abs/1901.03274 (2019) - [i59]Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen:
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR abs/1902.11239 (2019) - [i58]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. CoRR abs/1903.01777 (2019) - [i57]Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Strengthened Information-theoretic Bounds on the Generalization Error. CoRR abs/1903.03787 (2019) - [i56]Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. CoRR abs/1912.01439 (2019) - [i55]Erixhen Sula, Michael Gastpar:
Relaxed Wyner's Common Information. CoRR abs/1912.07083 (2019) - 2018
- [j56]Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
A Joint Typicality Approach to Compute-Forward. IEEE Trans. Inf. Theory 64(12): 7657-7685 (2018) - [c122]Su Li, Michael Gastpar:
Single-server Multi-message Private Information Retrieval with Side Information. Allerton 2018: 173-179 - [c121]Erixhen Sula, Michael Gastpar, Gerhard Kramer:
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. ISIT 2018: 306-310 - [c120]Ibrahim Issa, Michael Gastpar:
Computable Bounds on the Exploration Bias. ISIT 2018: 576-580 - [c119]Saeid Sahraei, Michael Gastpar:
Increasing Availability in Distributed Storage Systems via Clustering. ISIT 2018: 1705-1709 - [c118]Su Li, Michael Gastpar:
Single-server Multi-user Private Information Retrieval with Side Information. ISIT 2018: 1954-1958 - [c117]Krishnan Eswaran, Michael Gastpar:
Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy-Power. ITA 2018: 1-9 - [i54]Pierre Quinton, Saeid Sahraei, Michael Gastpar:
A Novel Centralized Strategy for Coded Caching with Non-uniform Demands. CoRR abs/1801.10563 (2018) - [i53]Krishnan Eswaran, Michael Gastpar:
Remote Source Coding under Gaussian Noise : Dueling Roles of Power and Entropy Power. CoRR abs/1805.06515 (2018) - [i52]Su Li, Michael Gastpar:
Single-Server Multi-Message Private Information Retrieval with Side Information. CoRR abs/1808.05797 (2018) - [i51]Saeid Sahraei, Pierre Quinton, Michael Gastpar:
The Optimal Memory-Rate Trade-off for the Non-uniform Centralized Caching Problem with Two Files under Uncoded Placement. CoRR abs/1808.07964 (2018) - [i50]Erixhen Sula, Michael Gastpar, Gerhard Kramer:
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. CoRR abs/1811.09525 (2018) - [i49]Adriano Pastore, Michael Gastpar:
Locally Differentially-Private Randomized Response for Discrete Distribution Learning. CoRR abs/1811.12257 (2018) - 2017
- [j55]Jingge Zhu, Michael Gastpar:
Gaussian Multiple Access via Compute-and-Forward. IEEE Trans. Inf. Theory 63(5): 2678-2695 (2017) - [j54]Sung Hoon Lim, Chien-Yi Wang, Michael Gastpar:
Information-Theoretic Caching: The Multi-User Case. IEEE Trans. Inf. Theory 63(11): 7018-7037 (2017) - [j53]Zhijie Ren, Jasper Goseling, Jos H. Weber, Michael Gastpar:
Secure Transmission on the Two-Hop Relay Channel With Scaled Compute-and-Forward. IEEE Trans. Inf. Theory 63(12): 7753-7769 (2017) - [j52]Saeid Sahraei, Michael Gastpar:
Polynomially Solvable Instances of the Shortest and Closest Vector Problems With Applications to Compute-and-Forward. IEEE Trans. Inf. Theory 63(12): 7780-7792 (2017) - [c116]Su Li, Abhin Shah, Michael Gastpar:
Cooperative data exchange with weighted cost based on d-basis construction. Allerton 2017: 421-428 - [c115]Su Li, Michael Gastpar:
Cooperative data exchange based on MDS codes. ISIT 2017: 1411-1415 - [c114]Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar:
Towards an algebraic network information theory: Simultaneous joint typicality decoding. ISIT 2017: 1818-1822 - [c113]Saeid Sahraei, Michael Gastpar:
GDSP: A graphical perspective on the distributed storage systems. ISIT 2017: 2218-2222 - [c112]Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar:
Compute-forward multiple access (CFMA) with nested LDPC codes. ISIT 2017: 2935-2939 - [c111]Jingge Zhu, Sung Hoon Lim, Michael Gastpar:
On the duality between multiple-access codes and computation codes. ITA 2017: 1-5 - [i48]