The Joint Image Handbook. - Matthew Trager; Martial Hebert; Jean Ponce (ICCV, 2015)

Consistency of Silhouettes and Their Duals. - Matthew Trager; Martial Hebert; Jean Ponce (CVPR, 2016)

Trinocular Geometry Revisited. - Matthew Trager; Jean Ponce; Martial Hebert (Int. J. Comput. Vis., 2016)

General Models for Rational Cameras and the Case of Two-Slit Projections. - Matthew Trager; Bernd Sturmfels; John F. Canny; Martial Hebert; Jean Ponce (CVPR, 2017)

Congruences and concurrent lines in multi-view geometry. - Jean Ponce; Bernd Sturmfels; Matthew Trager (Adv. Appl. Math., 2017)

Changing Views on Curves and Surfaces. - Kathlén Kohn; Bernd Sturmfels; Matthew Trager (CoRR, 2017)

Consistent Sets of Lines with no Colorful Incidence. - Boris Bukh; Xavier Goaoc; Alfredo Hubard; Matthew Trager (SoCG, 2018)

On the Solvability of Viewing Graphs. - Matthew Trager; Brian Osserman; Jean Ponce (ECCV (16), 2018)

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

Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry. - Matthew Trager; Martial Hebert; Jean Ponce (CVPR, 2019)

On the Expressive Power of Deep Polynomial Neural Networks. - Joe Kileel 001; Matthew Trager; Joan Bruna (NeurIPS, 2019)

Gradient Dynamics of Shallow Univariate ReLU Networks. - Francis Williams; Matthew Trager; Daniele Panozzo; Cláudio T. Silva; Denis Zorin; Joan Bruna (NeurIPS, 2019)

Pure and Spurious Critical Points: a Geometric Study of Linear Networks. - Matthew Trager; Kathlén Kohn; Joan Bruna (ICLR, 2020)

Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks. - Francis Williams; Matthew Trager; Joan Bruna; Denis Zorin (CVPR, 2021)

Symmetry Breaking in Symmetric Tensor Decomposition. - Yossi Arjevani; Joan Bruna; Michael Field; Joe Kileel 001; Matthew Trager; Francis Williams (CoRR, 2021)

Geometry of Linear Convolutional Networks. - Kathlén Kohn; Thomas Merkh; Guido Montúfar; Matthew Trager (SIAM J. Appl. Algebra Geom., 2022)

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. - Benjamin Bowman; Alessandro Achille; Luca Zancato; Matthew Trager; Pramuditha Perera; Giovanni Paolini; Stefano Soatto (CVPR, 2023)

Train/Test-Time Adaptation with Retrieval. - Luca Zancato; Alessandro Achille; Tian Yu Liu; Matthew Trager; Pramuditha Perera; Stefano Soatto (CVPR, 2023)

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Stefano Soatto (ICCV, 2023)

Linear Spaces of Meanings: the Compositional Language of VLMs. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Bing Xiang; Stefano Soatto (CoRR, 2023)

Prompt Algebra for Task Composition. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2023)

Towards Visual Foundational Models of Physical Scenes. - Chethan Parameshwara; Alessandro Achille; Matthew Trager; Xiaolong Li; Jiawei Mo; Ashwin Swaminathan; CJ Taylor; Dheera Venkatraman; Xiaohan Fei; Stefano Soatto (CoRR, 2023)

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. - Alessandro Achille; Greg Ver Steeg; Tian Yu Liu; Matthew Trager; Carson Klingenberg; Stefano Soatto (CVPR, 2024)

Multi-Modal Hallucination Control by Visual Information Grounding. - Alessandro Favero; Luca Zancato; Matthew Trager; Siddharth Choudhary; Pramuditha Perera; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. - Lawrence Stewart; Matthew Trager; Sujan K. Gonugondla; Stefano Soatto (ENLSP, 2024)

Snakes and Ladders: Accelerating SSM Inference with Speculative Decoding. - Yangchao Wu; Yonatan Dukler; Matthew Trager; Alessandro Achille; Wei Xia; Stefano Soatto (ENLSP, 2024)

Meaning Representations from Trajectories in Autoregressive Models. - Tian Yu Liu; Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (ICLR, 2024)

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. - Luca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen 002; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto (NeurIPS, 2024)

NeRF-Insert: 3D Local Editing with Multimodal Control Signals. - Benet Oriol Sabat; Alessandro Achille; Matthew Trager; Stefano Soatto (CoRR, 2024)

Compositional Structures in Neural Embedding and Interaction Decompositions. - Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (CoRR, 2024)

Function Space and Critical Points of Linear Convolutional Networks. - Kathlén Kohn; Guido Montúfar; Vahid Shahverdi; Matthew Trager (SIAM J. Appl. Algebra Geom., 2024)

PICASO: Permutation-Invariant Context Composition with State Space Models. - Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto (ICLR, 2025)

Geometry and Optimization of Shallow Polynomial Networks. - Yossi Arjevani; Joan Bruna; Joe Kileel 001; Elzbieta Polak; Matthew Trager (CoRR, 2025)

An Invitation to Neuroalgebraic Geometry. - Giovanni Luca Marchetti; Vahid Shahverdi; Stefano Mereta; Matthew Trager; Kathlén Kohn (CoRR, 2025)

Descriminative-Generative Custom Tokens for Vision-Language Models. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2025)

Maximally-Informative Retrieval for State Space Model Generation. - Evan Becker; Benjamin Bowman; Matthew Trager; Tian Yu Liu; Luca Zancato; Wei Xia; Stefano Soatto (CoRR, 2025)