6 citations · 17 across the 15 of their papers we have counts for
16 papers
Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns
Baris Sarper Tezcan, Hrishikesh Viswanath, Rubab Saher +1
Urban areas are increasingly vulnerable to thermal extremes driven by rapid urbanization and climate change. Traditionally, thermal extremes have been monitored using Earth-observi…
Operator Learning Using Weak Supervision from Walk-on-Spheres
Hrishikesh Viswanath, Hong Chul Nam, Xi Deng +3
Training neural PDE solvers is often bottlenecked by expensive data generation or unstable physics-informed neural network (PINN) involving challenging optimization landscapes due…
Mollified Value Learning
Hrishikesh Viswanath, Juanwu Lu, S. Talha Bukhari +4
Offline goal-conditioned reinforcement learning (GCRL) learns goal-reaching behaviors from static datasets, but accurate value estimation remains challenging under limited state-ac…
HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints
Hrishikesh Viswanath, Md Ashiqur Rahman, Chi Lin +2
Accurate and efficient 3D mapping of large-scale outdoor environments from LiDAR measurements is a fundamental challenge in robotics, particularly towards ensuring smooth and artif…
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
Hrishikesh Viswanath, Yue Chang, Aleksey Panas +3
Simulating physical systems governed by Lagrangian dynamics often entails solving partial differential equations (PDEs) over high-resolution spatial domains, leading to significant…
Trajectory Prediction for Robot Navigation using Flow-Guided Markov Neural Operator
Rashmi Bhaskara, Hrishikesh Viswanath, Aniket Bera
Predicting pedestrian movements remains a complex and persistent challenge in robot navigation research. We must evaluate several factors to achieve accurate predictions, such as p…
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization
Juntong Peng, Hrishikesh Viswanath, Aniket Bera
We introduce a new graph neural operator-based approach for task allocation in a system of heterogeneous robots composed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehi…
ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System
Revanth Krishna Senthilkumaran, Mridu Prashanth, Hrishikesh Viswanath +3
Mass casualty incidents (MCIs) pose a significant challenge to emergency medical services by overwhelming available resources and personnel. Effective victim assessment is the key…
AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis
Hrishikesh Viswanath, Aneesh Bhattacharya, Pascal Jutras-Dubé +4
Affect is an emotional characteristic encompassing valence, arousal, and intensity, and is a crucial attribute for enabling authentic conversations. While existing text-to-speech (…
FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
Hrishikesh Viswanath, Tianyi Zhang
Recent studies have demonstrated that large pretrained language models (LLMs) such as BERT and GPT-2 exhibit biases in token prediction, often inherited from the data distributions…
Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML
Hrishikesh Viswanath, Md Ashiqur Rahman, Abhijeet Vyas +5
Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering, and mathematical problems involving func…
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators
Md Ashiqur Rahman, Jasorsi Ghosh, Hrishikesh Viswanath +2
We address the problem of generating 3D human motions in dyadic activities. In contrast to the concurrent works, which mainly focus on generating the motion of a single actor from…
Quantifying Human Bias and Knowledge to guide ML models during Training
Hrishikesh Viswanath, Andrey Shor, Yoshimasa Kitaguchi
This paper discusses a crowdsourcing based method that we designed to quantify the importance of different attributes of a dataset in determining the outcome of a classification pr…
AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation
Hrishikesh Viswanath, Md Ashiqur Rahman, Rashmi Bhaskara +1
We present, AdaFNIO - Adaptive Fourier Neural Interpolation Operator, a neural operator-based architecture to perform video frame interpolation. Current deep learning based methods…
Character Spotting Using Machine Learning Techniques
P Preethi, Hrishikesh Viswanath
This work presents a comparison of machine learning algorithms that are implemented to segment the characters of text presented as an image. The algorithms are designed to work on…
Denoising and Segmentation of Epigraphical Scripts
P Preethi, Hrishikesh Viswanath
This paper is a presentation of a new method for denoising images using Haralick features and further segmenting the characters using artificial neural networks. The image is divid…