Radu V. Balan

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 9

Top Topics

Invariant Representation

Convex Formulation

Vector Quantized

Convolutional Neural Networks

Top Venues

IEEE Trans. Inf. Theory

SIAM J. Matrix Anal. Appl.

Publications

Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh
VQ-Flows: Vector Quantized Local Normalizing Flows. CoRR (2022)
Radu V. Balan, Naveed Haghani, Maneesh Singh
Permutation Invariant Representations with Applications to Graph Deep Learning. CoRR (2022)
Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh
VQ-Flows: Vector quantized local normalizing flows. UAI (2022)
Radu V. Balan, Chris B. Dock
Lipschitz Analysis of Generalized Phase Retrievable Matrix Frames. SIAM J. Matrix Anal. Appl. 43 (3) (2022)
Addison W. Bohannon, Vernon J. Lawhern, Nicholas R. Waytowich, Radu V. Balan
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes. IEEE Trans. Signal Process. 68 (2020)
Dongmian Zou, Radu V. Balan, Maneesh Singh
On Lipschitz Bounds of General Convolutional Neural Networks. IEEE Trans. Inf. Theory 66 (3) (2020)
Dongmian Zou, Radu V. Balan, Maneesh Singh
On Lipschitz Bounds of General Convolutional Neural Networks. CoRR (2018)
Addison W. Bohannon, Brian M. Sadler, Radu V. Balan
Learning Flexible Representations of Stochastic Processes on Graphs. DSW (2018)
Radu V. Balan, Maneesh Singh, Dongmian Zou
Lipschitz Properties for Deep Convolutional Networks. CoRR (2017)
Radu V. Balan, Dongmian Zou
Phase Retrieval using Lipschitz Continuous Maps. CoRR (2014)
Yenming M. Lai, Radu V. Balan, Heiko Claussen, Justinian Rosca
Optimal beam pattern design for very large sensor arrays with sparse sampling. ACSSC (2013)
Yenming M. Lai, Radu V. Balan, Heiko Claussen, Justinian P. Rosca
Broadband sensor location selection using convex optimization in very large scale arrays. WASPAA (2013)
Radu V. Balan
On signal reconstruction from its spectrogram. CISS (2010)
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan
Energy-efficient resource allocation in wireless networks with quality-of-service constraints. IEEE Trans. Commun. 57 (11) (2009)
Bernhard G. Bodmann, Peter G. Casazza, Dan Edidin, Radu V. Balan
Frames for linear reconstruction without phase. CISS (2008)
Radu V. Balan
Information theory based estimator of the number of sources in a sparse linear mixing model. CISS (2008)
Ningping Fan, Justinian Rosca, Radu V. Balan
Speech Noise Estimation using Enhanced Minima Controlled Recursive Averaging. ICASSP (4) (2007)
Radu V. Balan
Estimator for Number of Sources Using Minimum Description Length Criterion for Blind Sparse Source Mixtures. ICA (2007)
Radu V. Balan, Peter G. Casazza, Dan Edidin
Equivalence of Reconstruction From the Absolute Value of the Frame Coefficients to a Sparse Representation Problem. IEEE Signal Process. Lett. 14 (5) (2007)
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan
Energy-Efficient Resource Allocation in Wireless Networks with Quality-of-Service Constraints CoRR (2007)
Radu V. Balan, Justinian Rosca
Source Separation Using Sparse Discrete Prior Models. ICASSP (4) (2006)
Radu V. Balan, Justinian P. Rosca
Convolutive Demixing with Sparse Discrete Prior Models for Markov Sources. ICA (2006)
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan
Energy-Efficient Power and Rate Control with QoS Constraints: A Game-Theoretic Approach CoRR (2006)
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan
Energy-efficient power and rate control with QoS constraints: a game-theoretic approach. IWCMC (2006)
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz, Radu V. Balan
Energy Efficiency and Delay Quality-of-Service in Wireless Networks CoRR (2006)
Radu V. Balan, Yonina C. Eldar, Thomas Strohmer
Frames and Overcomplete Representations in Signal Processing, Communications, and Information Theory. EURASIP J. Adv. Signal Process. 2006 (2006)
Radu V. Balan, H. Vincent Poor, Scott T. Rickard, Sergio Verdú
Canonical time-frequency, time-scale, and frequency-scale representations of time-varying channels. Commun. Inf. Syst. 5 (2) (2005)
Radu V. Balan, Justinian Rosca, Scott Rickard
Equivalence principle for optimization of sparse versus low-spread representations for signal estimation in noise. Int. J. Imaging Syst. Technol. 15 (1) (2005)
Scott T. Rickard, Radu V. Balan, H. Vincent Poor, Sergio Verdú
Canonical time-frequency, time-scale, and frequency-scale representations of time-varying channels CoRR (2005)
Ningping Fan, Justinian P. Rosca, Radu V. Balan
Speaker Verification with Combined Threshold, Identification Front-End, and UBM. AutoID (2005)
Justinian Rosca, Christian Borß, Radu V. Balan
Generalized sparse signal mixing model and application to noisy blind source separation. ICASSP (3) (2004)
Liang Hong, Justinian Rosca, Radu V. Balan
Bayesian single channel speech enhancement exploiting sparseness in the ICA domain. EUSIPCO (2004)
Radu V. Balan, H. Vincent Poor, Scott T. Rickard, Sergio Verdú
Time-frequency and time-scale canonical representations of doubly spread channels. EUSIPCO (2004)
Justinian Rosca, Radu V. Balan, Christophe Beaugeant
Multi-channel psychoacoustically motivated speech enhancement. ICASSP (1) (2003)
Radu V. Balan, Peter G. Casazza, Christopher Heil, Zeph Landau
Deficits and Excesses of Frames. Adv. Comput. Math. 18 (2-4) (2003)
Radu V. Balan, Justinian Rosca, Scott Rickard
Scalable non-square blind source separation in the presence of noise. ICASSP (5) (2003)
Justinian P. Rosca, Radu V. Balan, Christophe Beaugeant
Multi-channel psychoacoustically motivated speech enhancement. ICME (2003)
Radu V. Balan, Gabriel Taubin
3D mesh geometry filtering algorithms for progressive transmission schemes. Comput. Aided Des. 32 (13) (2000)
Radu V. Balan, Ingrid Daubechies, Vinay A. Vaishampayan
The analysis and design of windowed Fourier frame based multiple description source coding schemes. IEEE Trans. Inf. Theory 46 (7) (2000)