Shivam Aggarwal

According to our database, Shivam Aggarwal authored at least 13 papers between 2014 and 2025.

Collaborative distances:

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

2025

HALO: Hardware-aware quantization with low critical-path-delay weights for LLM acceleration.

Rohan Juneja, Shivam Aggarwal, Safeen Huda, Tulika Mitra, Li-Shiuan Peh

CoRR, February, 2025

TerEffic: Highly Efficient Ternary LLM Inference on FPGA.

Chenyang Yin, Zhenyu Bai, Pranav Venkatram, Shivam Aggarwal, Zhaoying Li, Tulika Mitra

CoRR, February, 2025

DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference.

Yujie Zhang, Shivam Aggarwal, Tulika Mitra

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Condensed Sample-Guided Model Inversion for Knowledge Distillation.

Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung Pham, Karianto Leman, Gim Hee Lee, Tulika Mitra

CoRR, 2024

Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs.

Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Evaluating Active-learning Based Performance Prediction of Parallel Applications.

Shivam Aggarwal, Preeti Malakar

Proceedings of the 20th IEEE International Conference on e-Science, 2024

CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning.

Shivam Aggarwal, Kuluhan Binici, Tulika Mitra

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs.

Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra

CoRR, 2023

Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices.

Shivam Aggarwal, Kuluhan Binici, Tulika Mitra

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay.

Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs.

Akshay Jain, Pulkit Goel, Shivam Aggarwal, Alexander Fell, Saket Anand

IEEE J. Sel. Top. Signal Process., 2020

2019

Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications.

Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe

CoRR, 2019

2014

Identification and Detection of Phishing Emails Using Natural Language Processing Techniques.

Shivam Aggarwal, Vishal Kumar, S. D. Sudarsan

Proceedings of the 7th International Conference on Security of Information and Networks, 2014