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Reddy, S and Chepuri, SP (2021) Tensor Canonical Correlation Analysis on Graphs. In: 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021, 31 October 2021 - 3 November 2021, Virtual, Pacific Grove, pp. 1546-1550.
Sankar, RSP and Nair, SS and Doshi, S and Chepuri, SP (2023) Learning to Precode for Integrated Sensing and Communication Systems. In: 31st European Signal Processing Conference, EUSIPCO 2023, 4 - 8 September 2023, Helsinki, pp. 695-699.
Kadambari, SK and Chepuri, SP (2023) Product Graph Gaussian Processes for Multi-domain Data Imputation and Active Learning. In: 31st European Signal Processing Conference, EUSIPCO 2023, 4 - 8 September 2023, Helsinki, pp. 1619-1623.
Meng, X and Liu, F and Lu, S and Chepuri, SP and Masouros, C (2023) RIS-assisted Integrated Sensing and Communications: A Subspace Rotation Approach: Invited Paper. In: 2023 IEEE Radar Conference, RadarConf23, 1 - 5 May 2023, San Antonia.
Reddy, TS and Chepuri, SP and Borgnat, P (2023) Clustering with Simplicial Complexes. In: 31st European Signal Processing Conference, EUSIPCO 2023, 4 - 8 September 2023, Helsinki, pp. 1609-1613.
Francis, R and Chepuri, SP (2023) Decentralized Stochastic Projection-Free Learning with Compressed Push-Sum. In: UNSPECIFIED.
Sankar, RSP and Chepuri, SP (2023) Quantized Precoding and RIS-Assisted Modulation for Integrated Sensing and Communications Systems. In: UNSPECIFIED.
Sankar, RSP and Chepuri, SP (2022) Beamforming in Hybrid RIS assisted Integrated Sensing and Communication Systems. In: 30th European Signal Processing Conference, EUSIPCO 2022, 29 August - 2 September 2022, Belgrade, pp. 1082-1086.
Kadambari, SK and Francis, R and Chepuri, SP (2022) Distributed Denoising over Simplicial Complexes using Chebyshev Polynomial Approximation. In: 30th European Signal Processing Conference, EUSIPCO 2022, 29 August - 2 September 2022, Belgrade, pp. 822-826.
Kumar, R and Gurugubelli, S and Chepuri, SP (2022) Identifying Core-Periphery Structures Using Graph Neural Networks. In: 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022, 31 October- 2 November 2022, Virtual, Online, pp. 251-255.
Francis, R and Chepuri, SP (2022) Speeding up the Frank-Wolfe method using the Orthogonal Jacobi polynomials. In: 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022, 31 October - 2 November 2022, Virtual, Online, pp. 1081-1085.
Mogilipalepu, KK and Modukuri, SK and Madapu, A and Chepuri, SP (2021) Federated Deep Unfolding for Sparse Recovery. In: European Signal Processing Conference, 23 - 27 August 2021, Dublin, pp. 1950-1954.
Prasobh Sankar, RS and Deepak, B and Chepuri, SP (2021) Joint Communication and Radar Sensing with Reconfigurable Intelligent Surfaces. In: 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 27-30 Sep 2021, Lucca, pp. 471-475.
Kadambari, SK and Chepuri, SP (2020) Learning product graphs from multidomain signals. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 4-8 May 2020, Barcelona; Spain, pp. 5665-5669.
Coutino, M and Chepuri, SP and Leus, G (2019) Learning Sparse Hypergraphs from Dyadic Relational Data. In: 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 15-18 December 2019, pp. 216-220.
Rajamaki, R and Chepuri, SP and Koivunen, V (2019) Analog Beamforming for Active Imaging Using Sparse Arrays. In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 3-6 Nov. 2019, Pacific Grove, CA, USA, pp. 1202-1206.
Reddy, S and Chepuri, SP (2019) Sampling and reconstruction of diffusive fields on graphs. In: 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019, 11-14, November 2019, Canada.
Doshi, S and Chepuri, SP (2022) A computational approach to drug repurposing using graph neural networks. In: Computers in Biology and Medicine, 150 .
Kaloga, Y and Borgnat, P and Chepuri, SP and Abry, P and Habrard, A (2021) Variational graph autoencoders for multiview canonical correlation analysis. In: Signal Processing, 188 .
Sharma, S and Coutino, M and Chepuri, SP and Leus, G and Hari, KVS (2020) Towards a general framework for fast and feasible k-space trajectories for MRI based on projection methods. In: Magnetic Resonance Imaging, 72 . pp. 122-134.
Coutino, M and Chepuri, SP and Maehara, T and Leus, G (2020) Fast spectral approximation of structured graphs with applications to graph filtering. In: Algorithms, 13 (9).
Rajamaki, R and Chepuri, SP and Koivunen, V (2020) Hybrid Beamforming for Active Sensing Using Sparse Arrays. In: IEEE Transactions on Signal Processing, 68 . pp. 6402-6417.
Bushnaq, OM and Chaaban, A and Chepuri, SP and Leus, G and Al-Naffouri, TY (2020) Sensor placement and resource allocation for energy harvesting IoT networks. In: Digital Signal Processing: A Review Journal .
