Matthew Trager | DeepAI

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∙ 06/06/2023

Towards Visual Foundational Models of Physical Scenes

We describe a first step towards learning general-purpose visual represe...

0 Chethan Parameshwara, et al. ∙

∙ 06/01/2023

Prompt Algebra for Task Composition

We investigate whether prompts learned independently for different tasks...

0 Pramuditha Perera, et al. ∙

∙ 04/12/2023

Function Space and Critical Points of Linear Convolutional Networks

We study the geometry of linear networks with one-dimensional convolutio...

0 Kathlén Kohn, et al. ∙

∙ 03/25/2023

Train/Test-Time Adaptation with Retrieval

We introduce Train/Test-Time Adaptation with Retrieval (T^3AR), a method...

0 Luca Zancato, et al. ∙

∙ 02/28/2023

Linear Spaces of Meanings: the Compositional Language of VLMs

We investigate compositional structures in vector data embeddings from p...

0 Matthew Trager, et al. ∙

∙ 02/15/2023

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting

We introduce À-la-carte Prompt Tuning (APT), a transformer-based scheme ...

0 Benjamin Bowman, et al. ∙

∙ 08/03/2021

Geometry of Linear Convolutional Networks

We study the family of functions that are represented by a linear convol...

0 Kathlén Kohn, et al. ∙

∙ 03/10/2021

Symmetry Breaking in Symmetric Tensor Decomposition

In this note, we consider the optimization problem associated with compu...

12 Yossi Arjevani, et al. ∙

∙ 06/24/2020

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

We present Neural Splines, a technique for 3D surface reconstruction tha...

6 Francis Williams, et al. ∙

∙ 10/03/2019

Pure and Spurious Critical Points: a Geometric Study of Linear Networks

The critical locus of the loss function of a neural network is determine...

7 Matthew Trager, et al. ∙

∙ 06/18/2019

Gradient Dynamics of Shallow Univariate ReLU Networks

We present a theoretical and empirical study of the gradient dynamics of...

3 Francis Williams, et al. ∙

∙ 05/29/2019

On the Expressive Power of Deep Polynomial Neural Networks

We study deep neural networks with polynomial activations, particularly ...

5 Joe Kileel, et al. ∙

∙ 08/08/2018

On the Solvability of Viewing Graphs

A set of fundamental matrices relating pairs of cameras in some configur...

0 Matthew Trager, et al. ∙

∙ 03/16/2018

Consistent sets of lines with no colorful incidence

We consider incidences among colored sets of lines in R^d and examine wh...

0 Boris Bukh, et al. ∙

∙ 07/06/2017

Changing Views on Curves and Surfaces

Visual events in computer vision are studied from the perspective of alg...

0 Kathlén Kohn, et al. ∙

∙ 12/04/2016

General models for rational cameras and the case of two-slit projections

The rational camera model recently introduced in [19] provides a general...

0 Matthew Trager, et al. ∙

∙ 08/21/2016

Congruences and Concurrent Lines in Multi-View Geometry

We present a new framework for multi-view geometry in computer vision. A...

0 Jean Ponce, et al. ∙

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