Spandan Madan

21 papers A* 4B 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations.
Trans. Mach. Learn. Res.
Avi Cooper, Daniel Harari, Tomotake Sasaki, Spandan Madan, Hanspeter Pfister, Pawan Sinha, Xavier Boix
2025 J jnl
In-distribution adversarial attacks on object recognition models using gradient-free search.
Trans. Mach. Learn. Res.
Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix
2025 A* conf
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function.
AAAI
Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman
2024 A* conf
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS
Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman
2024 J jnl
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
CoRR
Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman
2024 J jnl
Look Around! Unexpected gains from training on environments in the vicinity of the target.
CoRR
Serena Bono, Spandan Madan, Ishaan Grover, Mao Yasueda, Cynthia Breazeal, Hanspeter Pfister, Gabriel Kreiman
2022 J jnl
Human or Machine? Turing Tests for Vision and Language.
CoRR
Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendáriz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman
2022 J jnl
Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations.
Neural Networks
Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki
2022 J jnl
What makes domain generalization hard?
CoRR
Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman
2022 J jnl
When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations.
Nat. Mach. Intell.
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
2021 B conf
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection.
PacificVis
Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
2021 J jnl
Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers.
CoRR
Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister
2021 J jnl
Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss.
CoRR
Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki
2021 J jnl
To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?
CoRR
Avi Cooper, Xavier Boix, Daniel Harari, Spandan Madan, Hanspeter Pfister, Tomotake Sasaki, Pawan Sinha
2021 A* conf
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes.
ICCV
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
2021 J jnl
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes.
CoRR
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
2020 J jnl
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations.
CoRR
Spandan Madan, Timothy Henry, Jamell Dozier, Helen Ho, Nishchal Bhandari, Tomotake Sasaki, Frédo Durand, Hanspeter Pfister, Xavier Boix
2018 J jnl
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics.
CoRR
Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand
2017 A* conf
Learning Visual Importance for Graphic Designs and Data Visualizations.
UIST
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann
2017 J jnl
Learning Visual Importance for Graphic Designs and Data Visualizations.
CoRR
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan, Sami Alsheikh, Spandan Madan, Hanspeter Pfister, Frédo Durand, Bryan C. Russell, Aaron Hertzmann
2017 J jnl
Understanding Infographics through Textual and Visual Tag Prediction.
CoRR
Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva