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Matthew Kowal
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2020 – today
- 2026
[i21]Thomas Costello, Kellin Pelrine, Matthew Kowal, Antonio A. Arechar, Jean-François Godbout, Adam Gleave, David Rand, Gordon Pennycook:
Large language models can effectively convince people to believe conspiracies. CoRR abs/2601.05050 (2026)
[i20]Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla:
TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering. CoRR abs/2602.06911 (2026)
[i19]Sonia Joseph, Quentin Garrido, Randall Balestriero, Matthew Kowal, Thomas Fel, Shahab Bakhtiari, Blake A. Richards, Mike Rabbat:
Interpreting Physics in Video World Models. CoRR abs/2602.07050 (2026)
[i18]Matthew Kowal, Goncalo Paulo, Louis Jaburi, Tom Tseng, Lev E. McKinney, Stefan Heimersheim, Aaron David Tucker, Adam Gleave, Kellin Pelrine:
Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution. CoRR abs/2602.14869 (2026)- 2025
[j3]Matthew Kowal
, Mennatullah Siam
, Md. Amirul Islam
, Neil D. B. Bruce
, Richard P. Wildes
, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 190-205 (2025)
[c11]Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle:
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. ICML 2025
[c10]Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis:
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment. ICML 2025
[i17]Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis:
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment. CoRR abs/2502.03714 (2025)
[i16]Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle:
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. CoRR abs/2502.12892 (2025)
[i15]Matthew Kowal, Jasper Timm, Jean-François Godbout, Thomas Costello, Antonio A. Arechar, Gordon Pennycook, David Rand, Adam Gleave, Kellin Pelrine:
It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics. CoRR abs/2506.02873 (2025)
[i14]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:
Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry. CoRR abs/2510.08638 (2025)
[i13]Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal:
Emergent Persuasion: Will LLMs Persuade Without Being Prompted? CoRR abs/2512.22201 (2025)- 2024
[j2]Md. Amirul Islam
, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. Int. J. Comput. Vis. 132(9): 3889-3910 (2024)
[c9]Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang:
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). Canadian AI 2024
[c8]Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis:
Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. CVPR 2024: 10895-10905
[c7]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CVPR 2024: 10946-10956
[i12]Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov:
Understanding Video Transformers via Universal Concept Discovery. CoRR abs/2401.10831 (2024)
[i11]Shih-Han Chou, Matthew Kowal, Yasmin Niknam, Diana Moyano, Shayaan Mehdi, Richard Pito, Cheng Zhang, Ian Knopke, Sedef Akinli Koçak, Leonid Sigal, Yalda Mohsenzadeh:
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). CoRR abs/2401.12419 (2024)
[i10]Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis:
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models. CoRR abs/2404.02233 (2024)- 2023
[j1]Md. Amirul Islam
, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. Int. J. Comput. Vis. 131(3): 701-716 (2023)- 2022
[c6]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Maximizing Mutual Shape Information. BMVC 2022: 909
[c5]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CVPR 2022: 13979-13989
[i9]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. CoRR abs/2206.02846 (2022)
[i8]Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. CoRR abs/2211.01783 (2022)- 2021
[c4]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. BMVC 2021: Article 54
[c3]Md. Amirul Islam, Matthew Kowal, Sen Jia
, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. ICCV 2021: 773-781
[c2]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. ICLR 2021
[i7]Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce:
Shape or Texture: Understanding Discriminative Features in CNNs. CoRR abs/2101.11604 (2021)
[i6]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. CoRR abs/2101.12322 (2021)
[i5]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. CoRR abs/2108.07884 (2021)
[i4]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. CoRR abs/2108.09929 (2021)
[i3]Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce:
Simpler Does It: Generating Semantic Labels with Objectness Guidance. CoRR abs/2110.10335 (2021)- 2020
[c1]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. BMVC 2020
[i2]Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce:
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. CoRR abs/2008.05667 (2020)
2010 – 2019
- 2019
[i1]Matthew Kowal, Gillian Sandison, Len Yabuki-Soh, Raner la Bastide:
Region Tracking in an Image Sequence: Preventing Driver Inattention. CoRR abs/1908.08914 (2019)
Coauthor Index

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last updated on 2026-03-31 00:29 CEST by the dblp team
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