Matthew Trager

Orcid: 0000-0001-9304-6427

Affiliations:
  • AWS AI Labs, New York, USA


According to our database1, Matthew Trager authored at least 29 papers between 2015 and 2024.

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Bibliography

2024
Function Space and Critical Points of Linear Convolutional Networks.
SIAM J. Appl. Algebra Geom., 2024

Compositional Structures in Neural Embedding and Interaction Decompositions.
CoRR, 2024

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
CoRR, 2024

NeRF-Insert: 3D Local Editing with Multimodal Control Signals.
CoRR, 2024

Meaning Representations from Trajectories in Autoregressive Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Modal Hallucination Control by Visual Information Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Towards Visual Foundational Models of Physical Scenes.
CoRR, 2023

Prompt Algebra for Task Composition.
CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.
CoRR, 2023

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Train/Test-Time Adaptation with Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Geometry of Linear Convolutional Networks.
SIAM J. Appl. Algebra Geom., 2022

2021
Symmetry Breaking in Symmetric Tensor Decomposition.
CoRR, 2021

Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Pure and Spurious Critical Points: a Geometric Study of Linear Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Gradient Dynamics of Shallow Univariate ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Expressive Power of Deep Polynomial Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Cameras, Shapes, and Contours: Geometric Models in Computer Vision. (Caméras, formes et contours: modèles géométriques en vision par ordinateur).
PhD thesis, 2018

On the Solvability of Viewing Graphs.
Proceedings of the Computer Vision - ECCV 2018, 2018

Consistent Sets of Lines with no Colorful Incidence.
Proceedings of the 34th International Symposium on Computational Geometry, 2018

2017
Changing Views on Curves and Surfaces.
CoRR, 2017

Congruences and concurrent lines in multi-view geometry.
Adv. Appl. Math., 2017

General Models for Rational Cameras and the Case of Two-Slit Projections.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Trinocular Geometry Revisited.
Int. J. Comput. Vis., 2016

Consistency of Silhouettes and Their Duals.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
The Joint Image Handbook.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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