Ali Al-Bashabsheh

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 29

Top Topics

Mutual Information

Partition Function

Top Venues

IEEE Trans. Inf. Theory

Publications

Chao Zhao, Ali Al-Bashabsheh, Chung Chan
Game Theoretic Clustering for Finding Strong Communities. Entropy 26 (3) (2024)
Masoumeh Soflaei, Richong Zhang, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xu Wang, Ali Al-Bashabsheh, Chao Zhao, Chung Chan
Smoothed noise contrastive mutual information neural estimation. J. Frankl. Inst. 360 (16) (2023)
Xu Wang, Ali Al-Bashabsheh, Chao Zhao, Chung Chan
Smoothed InfoNCE: Breaking the log N Curse without Overshooting. ISIT (2022)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Agglomerative Info-Clustering: Maximizing Normalized Total Correlation. IEEE Trans. Inf. Theory 67 (3) (2021)
Xu Wang, Ali Al-Bashabsheh, Chao Zhao, Chung Chan
Adaptive Label Smoothing for Classifier-based Mutual Information Neural Estimation. ISIT (2021)
Bernhard C. Geiger, Ali Al-Bashabsheh
On Functions of Markov Random Fields. CoRR (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI (2020)
Bernhard C. Geiger, Ali Al-Bashabsheh
On Functions of Markov Random Fields. ITW (2020)
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR (2020)
Raymond W. Yeung, Ali Al-Bashabsheh, Chao Chen, Qi Chen, Pierre Moulin
On Information-Theoretic Characterizations of Markov Random Fields and Subfields. IEEE Trans. Inf. Theory 65 (3) (2019)
Chung Chan, Ali Al-Bashabsheh, Hing Pang Huang, Michael Lim, Da Sun Handason Tam, Chao Zhao
Neural Entropic Estimation: A faster path to mutual information estimation. CoRR (2019)
Chung Chan, Ali Al-Bashabsheh, Da Sun Handason Tam, Chao Zhao
Finding Better Web Communities in Digraphs via Max-Flow Min-Cut. ISIT (2019)
Ali Al-Bashabsheh, Pascal O. Vontobel
A Factor-Graph Approach to Algebraic Topology, With Applications to Kramers-Wannier Duality. IEEE Trans. Inf. Theory 64 (12) (2018)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Change of Multivariate Mutual Information: From Local to Global. IEEE Trans. Inf. Theory 64 (1) (2018)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Agglomerative Info-Clustering. ISIT (2018)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Info-Clustering: An Efficient Algorithm by Network Information Flow. CoRR (2017)
Raymond W. Yeung, Ali Al-Bashabsheh, Chao Chen, Qi Chen, Pierre Moulin
Information-theoretic characterizations of Markov random fields and subfields. ISIT (2017)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Info-clustering: An efficient algorithm by network information flow. ITA (2017)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Agglomerative Info-Clustering. CoRR (2017)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Incremental and Decremental Secret Key Agreement. CoRR (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou, Tarik Kaced, Tie Liu
Info-Clustering: A Mathematical Theory for Data Clustering. CoRR (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou, Tie Liu
Duality between feature selection and data clustering. Allerton (2016)
Raymond W. Yeung, Ali Al-Bashabsheh, Chao Chen, Qi Chen, Pierre Moulin
On Characterizations of Markov Random Fields and Subfields. CoRR (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou, Tie Liu
Duality between Feature Selection and Data Clustering. CoRR (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou
Incremental and decremental secret key agreement. ISIT (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou, Tarik Kaced, Tie Liu
Info-Clustering: A Mathematical Theory for Data Clustering. IEEE Trans. Mol. Biol. Multi Scale Commun. 2 (1) (2016)
Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou, Ni Ding, Tie Liu, Alex Sprintson
Successive Omniscience. IEEE Trans. Inf. Theory 62 (6) (2016)
Ali Al-Bashabsheh, Pascal O. Vontobel
Kramers-Wannier Duality and Factor Graphs. CoRR (2016)
Chung Chan, Ali Al-Bashabsheh, Javad B. Ebrahimi, Tarik Kaced, Tie Liu
Multivariate Mutual Information Inspired by Secret-Key Agreement. Proc. IEEE 103 (10) (2015)
Chung Chan, Ali Al-Bashabsheh, Javad B. Ebrahimi, Tarik Kaced, Swanand Kadhe, Tie Liu, Alex Sprintson, Muxi Yan, Qiaoqiao Zhou
Successive omniscience. NetCod (2015)
Ali Al-Bashabsheh, Pascal O. Vontobel
The ising model: Kramers-Wannier duality and normal factor graphs. ISIT (2015)
Ali Al-Bashabsheh, Yongyi Mao
On Stochastic Estimation of Partition Function. CoRR (2014)
Ali Al-Bashabsheh, Yongyi Mao
On stochastic estimation of the partition function. ISIT (2014)
Ali Al-Bashabsheh, Yongyi Mao, Terence H. Chan
Translation schemes and LP bounds. CWIT (2013)
Ali Al-Bashabsheh, Yongyi Mao
Normal Factor Graphs as Probabilistic Models CoRR (2012)
Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel
Normal Factor Graphs: A Diagrammatic Approach to Linear Algebra CoRR (2011)
Ali Al-Bashabsheh, Yongyi Mao, Pascal O. Vontobel
Normal factor graphs: A diagrammatic approach to linear algebra. ISIT (2011)
Ali Al-Bashabsheh, Yongyi Mao
Normal Factor Graphs and Holographic Transformations. IEEE Trans. Inf. Theory 57 (2) (2011)
Ali Al-Bashabsheh, Yongyi Mao
Valiant Transform of Forney Graphs CoRR (2010)
Ali Al-Bashabsheh, Yongyi Mao, Abbas Yongaçoglu
On Holant Theorem and Its Proof CoRR (2010)
Ali Al-Bashabsheh, Yongyi Mao
Valiant transform of forney graphs. ITW (2010)
Ali Al-Bashabsheh, Abbas Yongaçoglu
Average Throughput with Linear Network Coding over Finite Fields: The Combination Network Case. EURASIP J. Wirel. Commun. Netw. 2008 (2008)
Ali Al-Bashabsheh, Abbas Yongaçoglu
On the k-pairs problem. ISIT (2008)
Ali Al-Bashabsheh, Abbas Yongaçoglu
On the Capacity Bounds of Undirected Networks CoRR (2008)
Ali Al-Bashabsheh, Abbas Yongaçoglu
On the k-pairs problem CoRR (2008)
Ali Al-Bashabsheh, Abbas Yongaçoglu
On the Capacity Bounds of Undirected Networks. ISIT (2007)