Ali Karkehabadi

According to our database, Ali Karkehabadi authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Energy-Efficient Quantization-Aware Training with Dynamic Bit-Width Optimization.

Ali Karkehabadi, Avesta Sasan

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

Unified Gravity Loss for Robust Neural Networks Through Feature Space Optimization.

Ali Karkehabadi, Houman Homayoun, Avesta Sasan

Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2024

Applying Machine Learning Tools for Urban Resilience Against Floods.

Mahla Ardebili Pour, Mohammad B. Ghiasi, Ali Karkehabadi

CoRR, 2024

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation.

Ali Karkehabadi, Houman Homayoun, Avesta Sasan

CoRR, 2024

Optimizing Underwater IoT Routing with Multi-Criteria Decision Making and Uncertainty Weights.

Ali Karkehabadi, Mitra Bakhshi, Seyed Behnam Razavian

CoRR, 2024

FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropogation.

Ali Karkehabadi, Houman Homayoun, Avesta Sasan

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

SMOOT: Saliency Guided Mask Optimized Online Training.

Ali Karkehabadi, Houman Homayoun, Avesta Sasan

CoRR, 2023

Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?

Ali Karkehabadi

CoRR, 2023

TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data.

Faraz Sasani, Ramin Mousa, Ali Karkehabadi, Samin Dehbashi, Ali Mohammadi

CoRR, 2023