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06/20/2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
The accurate modeling of dynamics in interactive environments is critica...
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05/23/2023
Image Manipulation via Multi-Hop Instructions – A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
We are interested in image manipulation via natural language text – a ta...
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11/11/2022
Equivariance with Learned Canonicalization Functions
Symmetry-based neural networks often constrain the architecture in order...
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02/19/2022
Transformation Coding: Simple Objectives for Equivariant Representations
We present a simple non-generative approach to deep representation learn...
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02/11/2022
Investigating Power laws in Deep Representation Learning
Representation learning that leverages large-scale labelled datasets, is...
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11/25/2021
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition
Airwriting Recognition is the problem of identifying letters written in ...
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07/16/2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Clustering single-cell RNA sequence (scRNA-seq) data poses statistical a...
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08/21/2020
RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns
Voice Activity Detection (VAD) refers to the task of identification of r...
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07/01/2020
Group Equivariant Deep Reinforcement Learning
In Reinforcement Learning (RL), Convolutional Neural Networks(CNNs) have...
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06/10/2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
Regularized Auto-Encoders (AE) form a rich class of methods within the l...
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05/17/2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Estimation of information theoretic quantities such as mutual informatio...
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12/10/2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models
The field of neural generative models is dominated by the highly success...
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08/30/2019
Revisiting CycleGAN for semi-supervised segmentation
In this work, we study the problem of training deep networks for semanti...
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10/29/2018
