Learning Visual Importance for Graphic Designs and Data Visualizations. - Zoya Bylinskii; Nam Wook Kim; Peter O'Donovan; Sami Alsheikh; Spandan Madan; Hanspeter Pfister; Frédo Durand; Bryan C. Russell; Aaron Hertzmann (UIST, 2017)

Understanding Infographics through Textual and Visual Tag Prediction. - Zoya Bylinskii; Sami Alsheikh; Spandan Madan; Adrià Recasens; Kimberli Zhong; Hanspeter Pfister; Frédo Durand; Aude Oliva (CoRR, 2017)

Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. - Spandan Madan; Zoya Bylinskii; Matthew Tancik; Adrià Recasens; Kimberli Zhong; Sami Alsheikh; Hanspeter Pfister; Aude Oliva; Frédo Durand (CoRR, 2018)

On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations. - Spandan Madan; Timothy Henry; Jamell Dozier; Helen Ho; Nishchal Bhandari; Tomotake Sasaki; Frédo Durand; Hanspeter Pfister; Xavier Boix (CoRR, 2020)

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. - Spandan Madan; Zoya Bylinskii; Carolina Nobre; Matthew Tancik; Adrià Recasens; Kimberli Zhong; Sami Alsheikh; Aude Oliva; Frédo Durand; Hanspeter Pfister (PacificVis, 2021)

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. - Philipp Bomatter; Mengmi Zhang; Dimitar Karev; Spandan Madan; Claire Tseng; Gabriel Kreiman (ICCV, 2021)

Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers. - Spandan Madan; Tomotake Sasaki; Tzu-Mao Li; Xavier Boix; Hanspeter Pfister (CoRR, 2021)

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing? - Avi Cooper; Xavier Boix; Daniel Harari; Spandan Madan; Hanspeter Pfister; Tomotake Sasaki; Pawan Sinha (CoRR, 2021)

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss. - Akira Sakai; Taro Sunagawa; Spandan Madan; Kanata Suzuki; Takashi Katoh; Hiromichi Kobashi; Hanspeter Pfister; Pawan Sinha; Xavier Boix; Tomotake Sasaki (CoRR, 2021)

What makes domain generalization hard? - Spandan Madan; Li You; Mengmi Zhang; Hanspeter Pfister; Gabriel Kreiman (CoRR, 2022)

Human or Machine? Turing Tests for Vision and Language. - Mengmi Zhang; Giorgia Dellaferrera; Ankur Sikarwar; Marcelo Armendáriz; Noga Mudrik; Prachi Agrawal; Spandan Madan; Andrei Barbu; Haochen Yang; Tanishq Kumar; Meghna Sadwani; Stella Dellaferrera; et al. (CoRR, 2022)

When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations. - Spandan Madan; Timothy Henry; Jamell Dozier; Helen Ho; Nishchal Bhandari; Tomotake Sasaki; Frédo Durand; Hanspeter Pfister; Xavier Boix (Nat. Mach. Intell., 2022)

Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. - Akira Sakai; Taro Sunagawa; Spandan Madan; Kanata Suzuki; Takashi Katoh; Hiromichi Kobashi; Hanspeter Pfister; Pawan Sinha; Xavier Boix; Tomotake Sasaki (Neural Networks, 2022)

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. - Spandan Madan; Will Xiao; Mingran Cao; Hanspeter Pfister; Margaret S. Livingstone; Gabriel Kreiman (NeurIPS, 2024)

Look Around! Unexpected gains from training on environments in the vicinity of the target. - Serena Bono; Spandan Madan; Ishaan Grover; Mao Yasueda; Cynthia Breazeal; Hanspeter Pfister; Gabriel Kreiman (CoRR, 2024)

The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function. - Serena Bono; Spandan Madan; Ishaan Grover; Mao Yasueda; Cynthia Breazeal; Hanspeter Pfister; Gabriel Kreiman (AAAI, 2025)

Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations. - Avi Cooper; Daniel Harari; Tomotake Sasaki; Spandan Madan; Hanspeter Pfister; Pawan Sinha; Xavier Boix (Trans. Mach. Learn. Res., 2025)

In-distribution adversarial attacks on object recognition models using gradient-free search. - Spandan Madan; Tomotake Sasaki; Hanspeter Pfister; Tzu-Mao Li; Xavier Boix (Trans. Mach. Learn. Res., 2025)