The Mutex Watershed: Efficient, Parameter-Free Image Partitioning. - Steffen Wolf 001; Constantin Pape; Alberto Bailoni; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (ECCV (4), 2018)

On the Spectral Bias of Deep Neural Networks. - Nasim Rahaman; Devansh Arpit; Aristide Baratin; Felix Draxler; Min Lin; Fred A. Hamprecht; Yoshua Bengio; Aaron C. Courville (CoRR, 2018)

On the Spectral Bias of Neural Networks. - Nasim Rahaman; Aristide Baratin; Devansh Arpit; Felix Draxler; Min Lin; Fred A. Hamprecht; Yoshua Bengio; Aaron C. Courville (ICML, 2019)

The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning. - Steffen Wolf 001; Alberto Bailoni; Constantin Pape; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (CoRR, 2019)

Learning the Arrow of Time. - Nasim Rahaman; Steffen Wolf 001; Anirudh Goyal; Roman Remme; Yoshua Bengio (CoRR, 2019)

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. - Yoshua Bengio; Tristan Deleu; Nasim Rahaman; Nan Rosemary Ke; Sébastien Lachapelle; Olexa Bilaniuk; Anirudh Goyal; Christopher J. Pal (ICLR, 2020)

Learning the Arrow of Time for Problems in Reinforcement Learning. - Nasim Rahaman; Steffen Wolf 001; Anirudh Goyal; Roman Remme; Yoshua Bengio (ICLR, 2020)

COVI White Paper. - Hannah Alsdurf; Yoshua Bengio; Tristan Deleu; Prateek Gupta; Daphne Ippolito; Richard Janda; Max Jarvie; Tyler Kolody; Sekoul Krastev; Tegan Maharaj; Robert Obryk; Dan Pilat; et al. (CoRR, 2020)

S2RMs: Spatially Structured Recurrent Modules. - Nasim Rahaman; Anirudh Goyal; Muhammad Waleed Gondal; Manuel Wuthrich; Stefan Bauer; Yash Sharma 001; Yoshua Bengio; Bernhard Schölkopf (CoRR, 2020)

Function Contrastive Learning of Transferable Representations. - Muhammad Waleed Gondal; Shruti Joshi; Nasim Rahaman; Stefan Bauer; Manuel Wüthrich; Bernhard Schölkopf (CoRR, 2020)

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. - Prateek Gupta; Tegan Maharaj; Martin Weiss; Nasim Rahaman; Hannah Alsdurf; Abhinav Sharma; Nanor Minoyan; Soren Harnois-Leblanc; Victor Schmidt; Pierre-Luc St-Charles; Tristan Deleu; Andrew Williams; et al. (CoRR, 2020)

Predicting Infectiousness for Proactive Contact Tracing. - Yoshua Bengio; Prateek Gupta; Tegan Maharaj; Nasim Rahaman; Martin Weiss; Tristan Deleu; Eilif Benjamin Müller; Meng Qu; Victor Schmidt; Pierre-Luc St-Charles; Hannah Alsdurf; Olexa Bilaniuk; et al. (ICLR, 2021)

Spatially Structured Recurrent Modules. - Nasim Rahaman; Anirudh Goyal; Muhammad Waleed Gondal; Manuel Wuthrich; Stefan Bauer; Yash Sharma 001; Yoshua Bengio; Bernhard Schölkopf (ICLR, 2021)

Function Contrastive Learning of Transferable Meta-Representations. - Muhammad Waleed Gondal; Shruti Joshi; Nasim Rahaman; Stefan Bauer; Manuel Wuthrich; Bernhard Schölkopf (ICML, 2021)

Dynamic Inference with Neural Interpreters. - Nasim Rahaman; Muhammad Waleed Gondal; Shruti Joshi; Peter V. Gehler; Yoshua Bengio; Francesco Locatello; Bernhard Schölkopf (NeurIPS, 2021)

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning. - Steffen Wolf 001; Alberto Bailoni; Constantin Pape; Nasim Rahaman; Anna Kreshuk; Ullrich Köthe; Fred A. Hamprecht (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Coordination Among Neural Modules Through a Shared Global Workspace. - Anirudh Goyal; Aniket Rajiv Didolkar; Alex Lamb; Kartikeya Badola; Nan Rosemary Ke; Nasim Rahaman; Jonathan Binas; Charles Blundell; Michael Curtis Mozer; Yoshua Bengio (ICLR, 2022)

Neural Attentive Circuits. - Martin Weiss; Nasim Rahaman; Francesco Locatello; Chris Pal; Yoshua Bengio; Bernhard Schölkopf; Li Erran Li; Nicolas Ballas (NeurIPS, 2022)

A General Purpose Neural Architecture for Geospatial Systems. - Nasim Rahaman; Martin Weiss; Frederik Träuble; Francesco Locatello; Alexandre Lacoste; Yoshua Bengio; Chris Pal; Li Erran Li; Bernhard Schölkopf (CoRR, 2022)

Discrete Key-Value Bottleneck. - Frederik Träuble; Anirudh Goyal; Nasim Rahaman; Michael Curtis Mozer; Kenji Kawaguchi; Yoshua Bengio; Bernhard Schölkopf (ICML, 2023)

The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (CoRR, 2023)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (ICLR, 2024)

Language Models Can Reduce Asymmetry in Information Markets. - Nasim Rahaman; Martin Weiss; Manuel Wüthrich; Yoshua Bengio; Li Erran Li; Chris Pal; Bernhard Schölkopf (CoRR, 2024)

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art. - Alejandro Hernandez; Levin Brinkmann; Ignacio Serna; Nasim Rahaman; Hassan Abu Alhaija; Hiromu Yakura; Mar Canet Sola; Bernhard Schölkopf; Iyad Rahwan (CoRR, 2024)

MapBot: A Multi-Modal Agent for Geospatial Analysis. - Martin Weiss; Nasim Rahaman; Chris Pal (AAMAS, 2025)