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08/21/2023
Reinforcement Learning Based Sensor Optimization for Bio-markers
Radio frequency (RF) biosensors, in particular those based on inter-digi...
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08/08/2023
Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers
The combination of high-throughput experimentation techniques and machin...
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05/13/2023
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
Recent approaches to the tensor completion problem have often overlooked...
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05/13/2023
Structured Low-Rank Tensor Learning
We consider the problem of learning low-rank tensors from partial observ...
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04/20/2023
Angle based dynamic learning rate for gradient descent
In our work, we propose a novel yet simple approach to obtain an adaptiv...
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04/20/2023
Adaptive Consensus Optimization Method for GANs
We propose a second order gradient based method with ADAM and RMSprop fo...
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04/20/2023
Light-weight Deep Extreme Multilabel Classification
Extreme multi-label (XML) classification refers to the task of supervise...
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03/24/2023
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization
Recent advances in Reinforcement Learning (RL) have led to many exciting...
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02/15/2023
SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs
We describe SynGraphy, a method for visually summarising the structure o...
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02/15/2023
Qualitative Data Augmentation for Performance Prediction in VLSI circuits
Various studies have shown the advantages of using Machine Learning (ML)...
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02/12/2023
Review of Extreme Multilabel Classification
Extreme multilabel classification or XML, in short, has emerged as a new...
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12/10/2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning
A reliable critic is central to on-policy actor-critic learning. But it ...
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09/30/2021
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
We propose a novel Riemannian method for solving the Extreme multi-label...
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09/30/2021
SCIMAT: Science and Mathematics Dataset
In this work, we announce a comprehensive well curated and opensource da...
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09/29/2020
A Survey on Semantic Parsing from the perspective of Compositionality
Different from previous surveys in semantic parsing (Kamath and Das, 201...
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12/31/2019
Deep Attentive Ranking Networks for Learning to Order Sentences
We present an attention-based ranking framework for learning to order se...
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09/21/2019
Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid
A parallel and nested version of a frequency filtering preconditioner is...
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03/10/2018
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS
In this paper, we study FPGA based pipelined and superscalar design of t...
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01/31/2018
Optimizing Non-decomposable Measures with Deep Networks
We present a class of algorithms capable of directly training deep neura...
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09/28/2017