5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Birla Institute of Technology and Science, PilaniIN126 papers
- Homi Bhabha National InstituteIN13 papers
- Saha Institute of Nuclear PhysicsIN11 papers
- GLA UniversityIN10 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- University of CoimbraPT8 papers
- Charotar University of Science and TechnologyIN7 papers
- Indian Institute of Science BangaloreIN7 papers
- Indian Institute of Science Education and Research KolkataIN7 papers
- Indian Institute of AstrophysicsIN5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Microsoft Research (India)IN5 papers
13 papers · 1 filter
Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
Ashwin Srinivasan, Tirtharaj Dash, A Baskar +3
We investigate a relatively under-explored class of hybrid neurosymbolic models that integrate symbolic learning with neural reasoning to construct data generators meeting formal c…
IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash +6
Deep neural network (DNN) models for retinopathy have estimated predictive accuracies in the mid-to-high 90%. However, the following aspects remain unaddressed: State-of-the-art mo…
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
Snehanshu Saha, Jyotirmoy Sarkar, Soma Dhavala +2
Anomalies refer to the departure of systems and devices from their normal behaviour in standard operating conditions. An anomaly in an industrial device can indicate an upcoming fa…
Composition of Relational Features with an Application to Explaining Black-Box Predictors
Ashwin Srinivasan, A Baskar, Tirtharaj Dash +1
Relational machine learning programs like those developed in Inductive Logic Programming (ILP) offer several advantages: (1) The ability to model complex relationships amongst data…
Hamiltonian Monte Carlo Particle Swarm Optimizer
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha +2
We introduce the Hamiltonian Monte Carlo Particle Swarm Optimizer (HMC-PSO), an optimization algorithm that reaps the benefits of both Exponentially Averaged Momentum PSO and HMC s…
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja +1
We present a survey of ways in which existing scientific knowledge are included when constructing models with neural networks. The inclusion of domain-knowledge is of special inter…
Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction
Shangeth Rajaa, Jajati Keshari Sahoo
Stock prediction is a topic undergoing intense study for many years. Finance experts and mathematicians have been working on a way to predict the future stock price so as to decide…
Logical Explanations for Deep Relational Machines Using Relevance Information
Ashwin Srinivasan, Lovekesh Vig, Michael Bain
Our interest in this paper is in the construction of symbolic explanations for predictions made by a deep neural network. We will focus attention on deep relational machines (DRMs,…
A Novel Approach to Distributed Multi-Class SVM
Aruna Govada, Shree Ranjani, Aditi Viswanathan +1
With data sizes constantly expanding, and with classical machine learning algorithms that analyze such data requiring larger and larger amounts of computation time and storage spac…
Hybrid Approach for Inductive Semi Supervised Learning using Label Propagation and Support Vector Machine
Aruna Govada, Pravin Joshi, Sahil Mittal +1
Semi supervised learning methods have gained importance in today's world because of large expenses and time involved in labeling the unlabeled data by human experts. The proposed h…
Centroid Based Binary Tree Structured SVM for Multi Classification
Aruna Govada, Bhavul Gauri, S. K. Sahay
Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclas…
A Novel Feature Selection and Extraction Technique for Classification
Kratarth Goel, Raunaq Vohra, Ainesh Bakshi
This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs). We use CDFs to improve the accuracy of classificati…
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
Kratarth Goel, Raunaq Vohra, J. K. Sahoo
In this paper, we propose a generic technique to model temporal dependencies and sequences using a combination of a recurrent neural network and a Deep Belief Network. Our techniqu…