Weightless Neural Networks : Towards ending the wait for edge hardware-centric Machine Learning
Invited Talk at Dept. of Electrical Engineering, IIT Madras, Chennai, India
Talks
LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons
Oral Presentation at International Conference on Field Programmable Technology (FPT), ShanghaiTech University, China (Virtual)
Hashing and Filtering Techniques for Weightless Neural Networks
Invited Talk at SIAM Texas Louisiana Section Regional Conference 2024, Baylor University, Baylor, TX
Quasi-Weightless Vision Transformers
Talk at Semiconductor Research Corporation (SRC) TECHCON 2024, Renaissance Austin, Austin, TX
Comparing novel high throughput edge ML inference techniques on FPGA
Oral Presentation at 67th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) 2024, Springfield Sheraton Monarch Place, Springfield, MA
Ultra Low Energy Ultra Low Latency Machine Learning using Weightless Neural Networks
Talk at SRC AIHW Annual Review, Analog Devices, Wilmington, MA
Lightweight Vision Transformers for low energy edge inference
Virtual Presentation at MLArchSys @ ISCA 2024, Buenos Aires, Argentina
Quasi-Weightless Vision Transformers
Poster at iMAGiNE Consortium Symposium 2024, The University of Texas at Austin, Austin, TX
Predicting Rupture Potential of Cerebral Aneurysms
Poster at Young Research Fellow Poster Day, Indian Institute of Technology Madras, Chennai, India
Hardware Accelerators for Vision Transformers
Poster at IUSSTF Viterbi India Program, Viterbi School of Engineering, University of Southern California, Virtual