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Himanshu Asnani
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2020 – today
- 2022
- [j13]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2996-3007 (2022) - [j12]Rishabh K. Iyer, Ninad Khargonkar, Jeff A. Bilmes, Himanshu Asnani:
Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications. IEEE Trans. Inf. Theory 68(2): 752-781 (2022) - 2021
- [c28]Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer:
Independence Properties of Generalized Submodular Information Measures. ISIT 2021: 999-1004 - [c27]Eeshan Modak, Himanshu Asnani, Vinod M. Prabhakaran:
Rényi Divergence Based Bounds on Generalization Error. ITW 2021: 1-6 - [c26]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, A. P. Prathosh:
FlexAE: flexibly learning latent priors for wasserstein auto-encoders. UAI 2021: 525-535 - [i24]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data. CoRR abs/2107.07709 (2021) - [i23]Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer:
Independence Properties of Generalized Submodular Information Measures. CoRR abs/2108.03154 (2021) - 2020
- [j11]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. IEEE J. Sel. Areas Inf. Theory 1(1): 207-216 (2020) - [c25]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Feedback Turbo Autoencoder. ICASSP 2020: 8559-8563 - [c24]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Joint Channel Coding and Modulation via Deep Learning. SPAWC 2020: 1-5 - [c23]Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.:
MaskAAE: Latent space optimization for Adversarial Auto-Encoders. UAI 2020: 689-698 - [c22]Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.:
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. UAI 2020: 849-858 - [i22]Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP:
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. CoRR abs/2005.08226 (2020) - [i21]Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs. CoRR abs/2006.05838 (2020) - [i20]Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer:
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR abs/2010.05631 (2020)
2010 – 2019
- 2019
- [c21]Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. AAAI 2019: 4610-4617 - [c20]Debarnab Mitra, Himanshu Asnani, Sibi Raj B. Pillai:
On the Sum-capacity of Compound MAC Models with Distributed CSI and Unknown Fading Statistics. CISS 2019: 1-6 - [c19]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. ICC 2019: 1-7 - [c18]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. NeurIPS 2019: 2754-2764 - [c17]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan:
MIND: Model Independent Neural Decoder. SPAWC 2019: 1-5 - [c16]Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath:
DEEPTURBO: Deep Turbo Decoder. SPAWC 2019: 1-5 - [c15]Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan:
CCMI : Classifier based Conditional Mutual Information Estimation. UAI 2019: 1083-1093 - [i19]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
DeepTurbo: Deep Turbo Decoder. CoRR abs/1903.02295 (2019) - [i18]Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan:
CCMI : Classifier based Conditional Mutual Information Estimation. CoRR abs/1906.01824 (2019) - [i17]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. CoRR abs/1911.03038 (2019) - [i16]Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.:
Towards Latent Space Optimality for Auto-Encoder Based Generative Models. CoRR abs/1912.04564 (2019) - 2018
- [c14]Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan:
Estimators for Multivariate Information Measures in General Probability Spaces. NeurIPS 2018: 8678-8689 - [i15]Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan:
Mimic and Classify : A meta-algorithm for Conditional Independence Testing. CoRR abs/1806.09708 (2018) - [i14]Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan:
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks. CoRR abs/1809.03627 (2018) - [i13]Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan:
Estimators for Multivariate Information Measures in General Probability Spaces. CoRR abs/1810.11551 (2018) - [i12]Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks. CoRR abs/1811.12707 (2018) - 2015
- [j10]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network Compression: Worst Case Analysis. IEEE Trans. Inf. Theory 61(7): 3980-3995 (2015) - 2014
- [j9]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
To Feed or Not to Feedback. IEEE Trans. Inf. Theory 60(9): 5150-5172 (2014) - [j8]Haim Henri Permuter, Himanshu Asnani, Tsachy Weissman:
Capacity of a POST Channel With and Without Feedback. IEEE Trans. Inf. Theory 60(10): 6041-6057 (2014) - [j7]Behzad Ahmadi, Himanshu Asnani, Osvaldo Simeone, Haim H. Permuter:
Information Embedding on Actions. IEEE Trans. Inf. Theory 60(11): 6902-6916 (2014) - 2013
- [j6]Idoia Ochoa, Himanshu Asnani, Dinesh Bharadia, Mainak Chowdhury, Tsachy Weissman, Golan Yona:
QualComp: a new lossy compressor for quality scores based on rate distortion theory. BMC Bioinform. 14: 187 (2013) - [j5]Himanshu Asnani, Haim H. Permuter:
Multiple-Access Channel With Partial and Controlled Cribbing Encoders. IEEE Trans. Inf. Theory 59(4): 2252-2266 (2013) - [j4]Himanshu Asnani, Tsachy Weissman:
Real-Time Coding With Limited Lookahead. IEEE Trans. Inf. Theory 59(6): 3582-3606 (2013) - [j3]Yeow-Khiang Chia, Himanshu Asnani, Tsachy Weissman:
Multiterminal Source Coding With Action-Dependent Side Information. IEEE Trans. Inf. Theory 59(6): 3653-3667 (2013) - [j2]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Successive Refinement With Decoder Cooperation and Its Channel Coding Duals. IEEE Trans. Inf. Theory 59(9): 5511-5533 (2013) - [c13]Behzad Ahmadi, Himanshu Asnani, Osvaldo Simeone, Haim H. Permuter:
Information embedding on actions. ISIT 2013: 186-190 - [c12]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network compression: Worst-case analysis. ISIT 2013: 196-200 - [c11]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Capacity of a POST channel with and without feedback. ISIT 2013: 2538-2542 - [c10]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Operational extremality of Gaussianity in network compression, communication, and coding. ITW 2013: 1 - [i11]Himanshu Asnani, Ilan Shomorony, Amir Salman Avestimehr, Tsachy Weissman:
Network Compression: Worst-Case Analysis. CoRR abs/1304.1828 (2013) - [i10]Haim H. Permuter, Himanshu Asnani, Tsachy Weissman:
Capacity of a POST Channel with and without Feedback. CoRR abs/1309.5440 (2013) - 2012
- [c9]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Successive refinement with cribbing decoders and its channel coding duals. ISIT 2012: 1366-1370 - [c8]Ilan Shomorony, Amir Salman Avestimehr, Himanshu Asnani, Tsachy Weissman:
Worst-case source for distributed compression with quadratic distortion. ITW 2012: 187-191 - [i9]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Successive Refinement with Decoder Cooperation and its Channel Coding Duals. CoRR abs/1203.4865 (2012) - [i8]Himanshu Asnani, Dinesh Bharadia, Mainak Chowdhury, Idoia Ochoa, Itai Sharon, Tsachy Weissman:
Lossy Compression of Quality Values via Rate Distortion Theory. CoRR abs/1207.5184 (2012) - [i7]Behzad Ahmadi, Himanshu Asnani, Osvaldo Simeone, Haim H. Permuter:
Information Embedding on Actions. CoRR abs/1207.6084 (2012) - [i6]Ilan Shomorony, Amir Salman Avestimehr, Himanshu Asnani, Tsachy Weissman:
Worst-Case Source for Distributed Compression with Quadratic Distortion. CoRR abs/1208.1784 (2012) - 2011
- [j1]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Probing Capacity. IEEE Trans. Inf. Theory 57(11): 7317-7332 (2011) - [c7]Himanshu Asnani, Tsachy Weissman:
On real time coding with limited lookahead. Allerton 2011: 60-67 - [c6]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
To feed or not to feed back. ISIT 2011: 159-163 - [c5]Yeow-Khiang Chia, Himanshu Asnani, Tsachy Weissman:
Multi-terminal source coding with action dependent side information. ISIT 2011: 2035-2039 - [c4]Himanshu Asnani, Haim H. Permuter:
Multiple access channel with partial and controlled cribbing encoders. ISIT 2011: 2268-2272 - [i5]Haim H. Permuter, Himanshu Asnani:
Multiple Access Channel with Partial and Controlled Cribbing Encoders. CoRR abs/1103.4007 (2011) - [i4]Himanshu Asnani, Tsachy Weissman:
On Real Time Coding with Limited Lookahead. CoRR abs/1105.5755 (2011) - [i3]Yeow-Khiang Chia, Himanshu Asnani, Tsachy Weissman:
Multi-Terminal Source Coding With Action Dependent Side Information. CoRR abs/1110.6916 (2011) - 2010
- [c3]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
To observe or not to observe the channel state. Allerton 2010: 1434-1441 - [c2]Prasanna Chaporkar, Alexandre Proutière, Himanshu Asnani:
Learning to Optimally Exploit Multi-Channel Diversity in Wireless Systems. INFOCOM 2010: 812-820 - [i2]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
Probing Capacity. CoRR abs/1010.1309 (2010) - [i1]Himanshu Asnani, Haim H. Permuter, Tsachy Weissman:
To Feed or Not to Feed Back. CoRR abs/1011.1607 (2010)
2000 – 2009
- 2009
- [c1]Prasanna Chaporkar, Alexandre Proutière, Himanshu Asnani, Abhay Karandikar:
Scheduling with limited information in wireless systems. MobiHoc 2009: 75-84
Coauthor Index
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