Sravan Kumar Ankireddy

According to our database, Sravan Kumar Ankireddy authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer.

Yulun Wu, Sravan Kumar Ankireddy, Samuel Sharpe, Nikita Seleznev, Dehao Yuan, Hyeji Kim, Nam H. Nguyen

CoRR, March, 2026

TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting.

Sravan Kumar Ankireddy, Nikita Seleznev, Nam H. Nguyen, Yulun Wu, Senthil Kumar, Furong Huang, C. Bayan Bruss

CoRR, March, 2026

Residual Diffusion Models for Variable-Rate Joint Source-Channel Coding of MIMO CSI.

Sravan Kumar Ankireddy, Heasung Kim, Joonyoung Cho, Hyeji Kim

IEEE J. Sel. Areas Commun., 2026

2025

Deep-OFDM: Neural Modulation for High Mobility.

Sravan Kumar Ankireddy, S. Ashwin Hebbar, Pramod Viswanath, Hyeji Kim

CoRR, June, 2025

Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI.

Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim

CoRR, May, 2025

Light Code: Light Analytical and Neural Codes for Channels With Feedback.

Sravan Kumar Ankireddy, Krishna R. Narayanan, Hyeji Kim

IEEE J. Sel. Areas Commun., April, 2025

Residual Diffusion Models for Joint Source Channel Coding of MIMO CSI.

Sravan Kumar Ankireddy, Heasung Kim, Hyeji Kim

Proceedings of the 59th Asilomar Conference on Signals, 2025

NTF-OFDM: Robust Neural Modulation for High Mobility.

Sravan Kumar Ankireddy, S. Ashwin Hebbar, Pramod Viswanath, Hyeji Kim

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

LIGHTCODE: Light Analytical and Neural Codes for Channels with Feedback.

Sravan Kumar Ankireddy, Krishna Narayanan, Hyeji Kim

CoRR, 2024

Exploring Explainability in Video Action Recognition.

Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh

Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024

Nested Construction of Polar Codes via Transformers.

Sravan Kumar Ankireddy, S. Ashwin Hebbar, Heping Wan, Joonyoung Cho, Charlie Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2024

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning.

S. Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach.

Heasung Kim, Sravan Kumar Ankireddy

CoRR, 2023

Task-aware Distributed Source Coding under Dynamic Bandwidth.

Po-han Li, Sravan Kumar Ankireddy, Ruihan Philip Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compressed Error HARQ: Feedback Communication on Noise-Asymmetric Channels.

Sravan Kumar Ankireddy, S. Ashwin Hebbar, Yihan Jiang, Pramod Viswanath, Hyeji Kim

Proceedings of the IEEE International Symposium on Information Theory, 2023

Interpreting Neural Min-Sum Decoders.

Sravan Kumar Ankireddy, Hyeji Kim

Proceedings of the IEEE International Conference on Communications, 2023

2022

Neural Augmented Min-Sum Decoding of Short Block Codes for Fading Channels.

Sravan Kumar Ankireddy, Hyeji Kim

CoRR, 2022

TinyTurbo: Efficient Turbo Decoders on Edge.

S. Ashwin Hebbar, Rajesh K. Mishra, Sravan Kumar Ankireddy, Ashok Vardhan Makkuva, Hyeji Kim, Pramod Viswanath

Proceedings of the IEEE International Symposium on Information Theory, 2022