Matthew Kowal

35 papers A* 7A 3Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution.
CoRR
Matthew Kowal, Goncalo Paulo, Louis Jaburi, Tom Tseng, Lev E. McKinney, Stefan Heimersheim, Aaron David Tucker, Adam Gleave, Kellin Pelrine
2026 J jnl
Interpreting Physics in Video World Models.
CoRR
Sonia Joseph, Quentin Garrido, Randall Balestriero, Matthew Kowal, Thomas Fel, Shahab Bakhtiari, Blake A. Richards, Mike Rabbat
2026 J jnl
Large language models can effectively convince people to believe conspiracies.
CoRR
Thomas Costello, Kellin Pelrine, Matthew Kowal, Antonio A. Arechar, Jean-François Godbout, Adam Gleave, David Rand, Gordon Pennycook
2026 J jnl
TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering.
CoRR
Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla
2025 A* conf
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
ICML
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025 J jnl
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models.
CoRR
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025 J jnl
Emergent Persuasion: Will LLMs Persuade Without Being Prompted?
CoRR
Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal
2025 J jnl
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry.
CoRR
Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg
2025 J jnl
It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics.
CoRR
Matthew Kowal, Jasper Timm, Jean-François Godbout, Thomas Costello, Antonio A. Arechar, Gordon Pennycook, David Rand, Adam Gleave, Kellin Pelrine
2025 J jnl
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2025 A* conf
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment.
ICML
Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis
2025 J jnl
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment.
CoRR
Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis
2024 — conf
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews).
Canadian AI
Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang
2024 J jnl
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews).
CoRR
Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh
2024 J jnl
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs.
Int. J. Comput. Vis.
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2024 A* conf
Understanding Video Transformers via Universal Concept Discovery.
CVPR
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024 J jnl
Understanding Video Transformers via Universal Concept Discovery.
CoRR
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024 A* conf
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models.
CVPR
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis
2024 J jnl
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models.
CoRR
Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis
2023 J jnl
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness.
Int. J. Comput. Vis.
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
2022 A* conf
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
CVPR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2022 J jnl
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information.
CoRR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2022 A conf
Maximizing Mutual Shape Information.
BMVC
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2022 J jnl
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks.
CoRR
Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis
2021 A* conf
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs.
ICCV
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 J jnl
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs.
CoRR
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 J jnl
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs.
CoRR
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 J jnl
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness.
CoRR
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 A* conf
Shape or Texture: Understanding Discriminative Features in CNNs.
ICLR
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 J jnl
Shape or Texture: Understanding Discriminative Features in CNNs.
CoRR
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 A conf
Simpler Does It: Generating Semantic Labels with Objectness Guidance.
BMVC
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2021 J jnl
Simpler Does It: Generating Semantic Labels with Objectness Guidance.
CoRR
Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
2020 A conf
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness.
BMVC
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
2020 J jnl
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness.
CoRR
Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce
2019 J jnl
Region Tracking in an Image Sequence: Preventing Driver Inattention.
CoRR
Matthew Kowal, Gillian Sandison, Len Yabuki-Soh, Raner la Bastide