- Siddhartha Pradhan, Ashish Gurung, Erin Ottmar:
Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. LAK 2024: 899-906 - Shivam Gujral, Siddhartha Sarma:
Backscatter-NOMA Empowered Wireless Powered Cooperative Communications for Green IoT. NCC 2024: 1-6 - Tobias Rohner, Siddhartha Mishra:
Efficient Computation of Large-Scale Statistical Solutions to Incompressible Fluid Flows. PASC 2024: 8:1-8:11 - Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang:
Fair Price Discrimination. SODA 2024: 2679-2703 - Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi:
Conceptual Mutation Testing for Student Programming Misconceptions. CoRR abs/2401.00021 (2024) - Kittipitch Kuptavanich, Ehud Reiter, Kees van Deemter, Advaith Siddharthan:
Textual Summarisation of Large Sets: Towards a General Approach. CoRR abs/2401.09041 (2024) - Siddhartha Jain, Jiawei Li, Robert Robere, Zhiyang Xun:
On Pigeonhole Principles and Ramsey in TFNP. CoRR abs/2401.12604 (2024) - Suparna Kundu, Siddhartha Chowdhury, Sayandeep Saha, Angshuman Karmakar, Debdeep Mukhopadhyay, Ingrid Verbauwhede:
Carry Your Fault: A Fault Propagation Attack on Side-Channel Protected LWE-based KEM. CoRR abs/2401.14098 (2024) - Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - Siddhartha Dalal, Vishal Misra:
The Matrix: A Bayesian learning model for LLMs. CoRR abs/2402.03175 (2024) - Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger:
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation. CoRR abs/2402.03545 (2024) - Tim De Ryck, Siddhartha Mishra:
Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning. CoRR abs/2402.10926 (2024) - Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR abs/2402.16994 (2024) - Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu:
The SMART approach to instance-optimal online learning. CoRR abs/2402.17720 (2024) - Amal Nanavati, Max Pascher, Vinitha Ranganeni, Ethan K. Gordon, Taylor Kessler Faulkner, Siddhartha S. Srinivasa, Maya Cakmak, Patrícia Alves-Oliveira, Jens Gerken:
Multiple Ways of Working with Users to Develop Physically Assistive Robots. CoRR abs/2403.00489 (2024) - Ethan Kroll Gordon, Rajat Kumar Jenamani, Amal Nanavati, Ziang Liu, Haya Bolotski, Raida Karim, Daniel Stabile, Atharva Kashyap, Bernie Hao Zhu, Xilai Dai, Tyler Schrenk, Jonathan Ko, Taylor Kessler Faulkner, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa:
An Adaptable, Safe, and Portable Robot-Assisted Feeding System. CoRR abs/2403.04134 (2024) - Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman:
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models. CoRR abs/2403.07384 (2024) - Siddhartha S. Borkotoky:
Redundancy Transmission in UAV-Aided LoRa Networks Featuring Wake-Up Radios. CoRR abs/2403.09782 (2024) - Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots:
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. CoRR abs/2403.11298 (2024) - R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie:
Learning to Infer Generative Template Programs for Visual Concepts. CoRR abs/2403.15476 (2024) - Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim:
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR abs/2403.20327 (2024) - Siddhartha Ganguly, Rihan Aaron D'Silva, Debasish Chatterjee:
QuITO v.2: Trajectory Optimization with Uniform Error Guarantees under Path Constraints. CoRR abs/2404.13681 (2024) - Siddhartha Jain, Jiawei Li, Robert Robere, Zhiyang Xun:
On Pigeonhole Principles and Ramsey in TFNP. Electron. Colloquium Comput. Complex. TR24: TR24-017 (2024) - 2023
- Narendra Kumar, Siddhartha Siddhiprada Bhoi, Ruchir Gupta, Abhay Kumar Singh:
Sliding window symbol-pair constrained codes for energy harvesting. Ann. des Télécommunications 78(1-2): 71-77 (2023) - Abhishek Gunjan, Siddhartha Bhattacharyya:
A brief review of portfolio optimization techniques. Artif. Intell. Rev. 56(5): 3847-3886 (2023) - Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, Jan Platos, Václav Snásel:
Automatic clustering of colour images using quantum inspired meta-heuristic algorithms. Appl. Intell. 53(9): 9823-9845 (2023) - Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal:
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136: 110099 (2023) - Md. Rahat Hasan, Ammar Alazab, Siddhartha Barman Joy, Mohammed Nasir Uddin, Md. Ashraf Uddin, Ansam Khraisat, Iqbal Gondal, Wahida Ferdose Urmi, Md. Alamin Talukder:
Smart Contract-Based Access Control Framework for Internet of Things Devices. Comput. 12(11): 240 (2023) - Hariprasad Siddharthan, Deepa Thangavel:
A novel framework approach for intrusion detection based on improved critical feature selection in Internet of Things networks. Concurr. Comput. Pract. Exp. 35(1) (2023) - Siddhartha Chakraborty, Biswabrata Pradhan:
On weighted cumulative Tsallis residual and past entropy measures. Commun. Stat. Simul. Comput. 52(5): 2058-2072 (2023)