Quantized Proximal Averaging Network for Analysis Sparse Coding. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CoRR, 2021)

An Ensemble of Proximal Networks for Sparse Coding. - Kartheek Kumar Reddy Nareddy; Swapnil Mache; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (ICIP, 2022)

Quantized Proximal Averaging Networks for Compressed Image Recovery. - Kartheek Kumar Reddy Nareddy; Mani Madhoolika Bulusu; Praveen Kumar Pokala; Chandra Sekhar Seelamantula (CVPR Workshops, 2023)

Quantized Generative Models for Solving Inverse Problems. - Kartheek Kumar Reddy Nareddy; Vinayak Killedar; Chandra Sekhar Seelamantula (ICCV (Workshops), 2023)

Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors. - Kartheek Kumar Reddy Nareddy; Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (ICASSP, 2024)

Method of Alternating Proximations for Solving Linear Inverse Problems. - Abijith Jagannath Kamath; Kartheek Kumar Reddy Nareddy; Chandra Sekhar Seelamantula (SPCOM, 2024)

Tight-Frame-Like Analysis-Sparse Recovery Using Nontight Sensing Matrices. - Kartheek Kumar Reddy Nareddy; Abijith Jagannath Kamath; Chandra Sekhar Seelamantula (SIAM J. Imaging Sci., 2024)

Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks. - Kartheek Kumar Reddy Nareddy; Inbasekaran Perumal; Chandra Sekhar Seelamantula (ICASSP, 2025)

Analyzing and Fine-Tuning Whisper Models for Multilingual Pilot Speech Transcription in the Cockpit. - Kartheek Kumar Reddy Nareddy; Sarah Ternus; Julia Niebling (CoRR, 2025)