4 citations · 6 across the 8 of their papers we have counts for
8 papers
What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment
Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
Automated evaluation of generative text-to-image models remains a challenging problem. Recent works have proposed using multimodal LLMs to judge the quality of images, but these wo…
A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
Rishab Parthasarathy, Achintya Bhowmik
Despite significant medical advancements, cancer remains the second leading cause of death, with over 600,000 deaths per year in the US. One emerging field, pathway analysis, is pr…
SuperUROP: An FPGA-Based Spatial Accelerator for Sparse Matrix Operations
Rishab Parthasarathy
Solving sparse systems of linear equations is a fundamental problem in the field of numerical methods, with applications spanning from circuit design to urban planning. These probl…
Radio Frequency Amplitude-Modulation to Frequency-Modulation Signal Converter
Rishab Parthasarathy, Michael Popik, Noah Haefner
In this project, we wanted to discover an analog topology that could effectively convert amplitude-modulated (AM) signals to frequency-modulated (FM) signals, while also ensuring t…
always_comm: An FPGA-based Hardware Accelerator for Audio/Video Compression and Transmission
Rishab Parthasarathy, Akshay Attaluri, Gilford Ting
We present a design for an extensible video conferencing stack implemented entirely in hardware on a Nexys4 DDR FPGA, which uses the M-JPEG codec to compress video and a UDP networ…
Vid3D: Synthesis of Dynamic 3D Scenes using 2D Video Diffusion
Rishab Parthasarathy, Zachary Ankner, Aaron Gokaslan
A recent frontier in computer vision has been the task of 3D video generation, which consists of generating a time-varying 3D representation of a scene. To generate dynamic 3D scen…
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha +3
To combat the memory bandwidth-bound nature of autoregressive LLM inference, previous research has proposed the speculative decoding frame-work. To perform speculative decoding, a…
Quantum Optical Convolutional Neural Network: A Novel Image Recognition Framework for Quantum Computing
Rishab Parthasarathy, Rohan Bhowmik
Large machine learning models based on Convolutional Neural Networks (CNNs) with rapidly increasing number of parameters, trained with massive amounts of data, are being deployed i…