ITA

Publications

2020

Kunping Huang, Netanel Raviv, Siddharth Jain, Pulakesh Upadhyaya, Jehoshua Bruck, Paul H. Siegel, Anxiao Andrew Jiang
Improve Robustness of Deep Neural Networks by Coding. ITA (2020)
Elizabeth B. Torres, Simon Schafer, Fred Gage, Terry Sejnowski
). ITA (2020)
Recep Can Yavas, Victoria Kostina, Michelle Effros
Gaussian Multiple and Random Access in the Finite Blocklength Regime. ITA (2020)
Avi Steiner, Shlomo Shamai Shitz
Broadcast Approach under Information Bottleneck Capacity Uncertainty. ITA (2020)
Jerry D. Gibson
Agent Learning and Autoregressive Modeling. ITA (2020)
Songyang Zhang, Shuguang Cui, Zhi Ding
Point Cloud Segmentation based on Hypergraph Spectral Clustering. ITA (2020)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. ITA (2020)
Aditya Bhaskara, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
Residual Based Sampling for Online Low Rank Approximation. ITA (2020)
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher
Limits of Detecting Text Generated by Large-Scale Language Models. ITA (2020)
Ralf R. Müller, Bernhard Gäde, Ali Bereyhi
Efficient Matrix Multiplication: The Sparse Power-of-2 Factorization. ITA (2020)
Xinmiao Zhang
Efficient Nested Key Equation Solver Architectures for Generalized Integrated Interleaved Codes. ITA (2020)
Peter Grünwald, Rianne de Heide, Wouter M. Koolen
Safe Testing. ITA (2020)
Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis
Optimal Learning of Joint Alignments with a Faulty Oracle. ITA (2020)
Gautam Kamath, Or Sheffet, Vikrant Singhal, Jonathan R. Ullman
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians. ITA (2020)
Seung-Shik Kang, Wonsup Jung
Natural Language Analysis and Generation by Deep Learning and the Bias Problem. ITA (2020)
Achilleas Anastasopoulos, Sandeep Pradhan
New perspectives on MAC feedback capacity using decentralized sequential active hypothesis testing paradigm. ITA (2020)
Steve Hanneke
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes. ITA (2020)
Mattia Lecci, Paolo Testolina, Marco Giordani, Michele Polese, Tanguy Ropitault, Camillo Gentile, Neeraj Varshney, Anuraag Bodi, Michele Zorzi
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation. ITA (2020)
Rui Wang, Yi Jiang
An Interference-Resilient Relay Beamforming Scheme Inspired by Back-Propagation Algorithm. ITA (2020)
Hadi Sarieddeen, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri
Theory for Terahertz Communications. ITA (2020)
Chenwei Wang, Zekun Zhang, Haralabos C. Papadopoulos
On-the-fly Uplink Training and Pilot Code Design for Massive MIMO Cellular Networks. ITA (2020)
Alireza Javani, Marwen Zorgui, Zhiying Wang
Age of Information in Multiple Sensing. ITA (2020)
Sagnik Bhattacharya, Adrish Banerjee
A method to find the volume of a sphere in the Lee metric, and its applications. ITA (2020)
Morteza Soltani, Zouheir Rezki
New Results on The Rate-Equivocation Region of The Optical Wiretap Channel with Input-Dependent Gaussian Noise with an Average-Intensity Constraint. ITA (2020)
Abhinanda Dutta, Steven Weber
Random access channel assignment on a collision erasure channel. ITA (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. ITA (2020)
Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
Universal Bayes Consistency in Metric Spaces. ITA (2020)
Yihan Zhang, Amitalok J. Budkuley, Sidharth Jaggi
Generalized List Decoding. ITA (2020)
Zehan Chao, Longxiu Huang, Deanna Needell
Tensor Completion through Total Variation with Initialization from Weighted HOSVD. ITA (2020)
Shakiba Yaghoubi, Georgios Fainekos
Worst-case Satisfaction of STL Specifications Using Feedforward Neural Network Controllers: A Lagrange Multipliers Approach. ITA (2020)
Chandra Nair
On Marton's Achievable Region: Local Tensorization for Product Channels with a Binary Component. ITA (2020)
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. ITA (2020)
Ahmed Douik, Babak Hassibi
Non-Negative Matrix Factorization via Low-Rank Stochastic Manifold Optimization. ITA (2020)
Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser
Identifying unpredictable test examples with worst-case guarantees. ITA (2020)
Xudong Chen
Structure theory for ensemble controllability, observability, and duality. ITA (2020)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA (2020)
Hanbaek Lyu, Georg Menz, Deanna Needell, Christopher Strohmeier
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data. ITA (2020)
Nader Beigiparast, Gokhan M. Guvensen, Ender Ayanoglu
Spatial Correlation in Single-Carrier Massive MIMO Systems. ITA (2020)
Kai Wan, Giuseppe Caire
Coded Caching with Private Demands. ITA (2020)
Michael Gastpar, Erixhen Sula
Common Information Components Analysis. ITA (2020)
Mohammad Nadji-Tehrani, Ali Eslami
A Brain-Inspired Framework for Evolutionary Artificial General Intelligence. ITA (2020)
Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell
Active Embedding Search via Noisy Paired Comparisons. ITA (2020)
Anirbit
Research Statement. ITA (2020)
Jamie Haddock, Lara Kassab, Alona Kryshchenko, Deanna Needell
On Nonnegative CP Tensor Decomposition Robustness to Noise. ITA (2020)
Namyoon Lee
Massive MIMO is Very Useful for Pilot-Free Uplink Communications. ITA (2020)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA (2020)
Information Theory and Applications Workshop, ITA 2020, San Diego, CA, USA, February 2-7, 2020 ITA (2020)

2018