Kumar, Piyush

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
   2018/11/05 by Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 48 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. ShieldGemma: Generative AI Content Moderation Based on Gemma
   2024/07/31 by Wenjun Zeng, Zeng, Wenjun, Yuchi Liu +21 · 53 citations
   Computer Science · #Hate Speech and Cyberbullying Detection
3. Safety and Fairness for Content Moderation in Generative Models
   2023/06/09 by Hao, Susan, Kumar, Piyush, Laszlo, Sarah +3 · 5 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Complex Langevin study of spontaneous symmetry breaking in IKKT matrix model
   2022/09/21 by Kumar, Arpith, Joseph, Anosh, Kumar, Piyush · 3 citations
   #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th)
5. Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems
   2024/07/10 by Islam, Chashi Mahiul, Salman, Shaeke, Shams, Montasir +2 · 3 citations
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
6. Defect Profiling of Oxide-Semiconductor Interfaces Using Low-Energy Muons
   2022/06/02 by Martins, Maria Inês Mendes, Kumar, Piyush, Woerle, Judith +3 · 1 citation
   #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Other Condensed Matter (cond-mat.other)
7. High-precision baryon number cumulants from lattice QCD in a finite box: cumulant ratios, Lee-Yang zeros and critical endpoint predictions
   2025/07/17 by Adam, Alexander, Borsányi, Szabolcs, Fodor, Zoltan +5 · 6 citations
   #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Phenomenology (hep-ph) #Nuclear Theory (nucl-th) #Statistical Mechanics (cond-mat.stat-mech)
8. Salient Conditional Diffusion for Defending Against Backdoor Attacks
   2023/01/31 by Brandon B. May, May, Brandon B., N. Joseph Tatro +6 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #I.2 #Machine Learning (cs.LG)
9. Investigating Spontaneous SO(10) Symmetry Breaking in Type IIB Matrix Model
   2023/08/01 by Arpith Kumar, Kumar, Arpith, Anosh Joseph +3 · 2 citations
   Physics and Astronomy · #Black Holes and Theoretical Physics #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #High Energy Physics - Theory (hep-th) #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions
10. Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
    2024/09/05 by Olivia Sturman, Sturman, Olivia, Aparna Joshi +7 · 1 citation
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Blood donation and transfusion practices #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Spam and Phishing Detection
11. Computational Analysis of the Temperature Profile Developed for a Hot Zone of 2500°C in an Induction Furnace
    2024/12/13 by J.M. Herrera, Herrera, Juan C., Laura F. Sandoval +10 · 1 citation
    Engineering · #Induction Heating and Inverter Technology
12. Partition of Unity Physics-Informed Neural Networks (POU-PINNs): An Unsupervised Framework for Physics-Informed Domain Decomposition and Mixtures of Experts
    2024/12/07 by A. Rodríguez Rodríguez, Rodriguez, Arturo, Ashesh Chattopadhyay +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
13. Computational Investigation of Roughness Effects on Boundary Layer Transition for Stetson's Blunt Cone at Mach 6
    2024/09/30 by Rodriguez, Arturo, Kumar, Piyush, Diaz-Caraveo, Cesar +3 · 2 citations
    #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)