Search Results for author: Abhishek Abhishek

Found 5 papers, 1 papers with code

CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation

no code implementations14 Oct 2022 Abhishek Abhishek, Eric Drechsler, Wojciech Fedorko, Bernd Stelzer

Calorimeter simulation is the most computationally expensive part of Monte Carlo generation of samples necessary for analysis of experimental data at the Large Hadron Collider (LHC).

Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors

no code implementations1 Nov 2019 Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio, Nicholas Prouse, Julian Z. Ding

Matter-antimatter asymmetry is one of the major unsolved problems in physics that can be probed through precision measurements of charge-parity symmetry violation at current and next-generation neutrino oscillation experiments.

Synthetic Data Generation

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage

1 code implementation AKBC 2019 Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar

Fine-grained Entity Recognition (FgER) is the task of detecting and classifying entity mentions to a large set of types spanning diverse domains such as biomedical, finance and sports.

Benchmarking

Collective Learning From Diverse Datasets for Entity Typing in the Wild

no code implementations20 Oct 2018 Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan, Ashish Anand, Amit Awekar

The CLF first creates a unified hierarchical label set (UHLS) and a label mapping by aggregating label information from all available datasets.

Entity Typing Sentence

Cannot find the paper you are looking for? You can Submit a new open access paper.