Search Results for author: Carlton Downey

Found 10 papers, 3 papers with code

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

no code implementations8 Jun 2022 Serge Assaad, Carlton Downey, Rami Al-Rfou, Nigamaa Nayakanti, Ben Sapp

Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where it can offer benefits like sample efficiency, better generalization, and robustness to input perturbations.

3D Shape Classification Motion Forecasting

Links: A High-Dimensional Online Clustering Method

1 code implementation30 Jan 2018 Philip Andrew Mansfield, Quan Wang, Carlton Downey, Li Wan, Ignacio Lopez Moreno

We present a novel algorithm, called Links, designed to perform online clustering on unit vectors in a high-dimensional Euclidean space.

Clustering Online Clustering +1

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

no code implementations ICLR 2018 Krzysztof Choromanski, Carlton Downey, Byron Boots

In this paper, we extend the theory of ORFs to Kernel Ridge Regression and show that ORFs can be used to obtain Orthogonal PSRNNs (OPSRNNs), which are smaller and faster than PSRNNs.

regression Time Series +1

Speaker Diarization with LSTM

4 code implementations28 Oct 2017 Quan Wang, Carlton Downey, Li Wan, Philip Andrew Mansfield, Ignacio Lopez Moreno

For many years, i-vector based audio embedding techniques were the dominant approach for speaker verification and speaker diarization applications.

Clustering speaker-diarization +2

Predictive State Recurrent Neural Networks

no code implementations NeurIPS 2017 Carlton Downey, Ahmed Hefny, Boyue Li, Byron Boots, Geoffrey Gordon

We present a new model, Predictive State Recurrent Neural Networks (PSRNNs), for filtering and prediction in dynamical systems.

Tensor Decomposition

Practical Learning of Predictive State Representations

no code implementations14 Feb 2017 Carlton Downey, Ahmed Hefny, Geoffrey Gordon

Unfortunately it is not obvious how to apply apply an EM style algorithm in the context of PSRs as the Log Likelihood is not well defined for all PSRs.

An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems

1 code implementation12 Feb 2017 Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon

We propose a framework for modeling and estimating the state of controlled dynamical systems, where an agent can affect the system through actions and receives partial observations.

Supervised Learning for Dynamical System Learning

no code implementations NeurIPS 2015 Ahmed Hefny, Carlton Downey, Geoffrey Gordon

To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L1 regularization.


Large-scale randomized-coordinate descent methods with non-separable linear constraints

no code implementations9 Sep 2014 Sashank Reddi, Ahmed Hefny, Carlton Downey, Avinava Dubey, Suvrit Sra

We develop randomized (block) coordinate descent (CD) methods for linearly constrained convex optimization.

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