Nasim Rahaman

33 papers A* 11A 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alien Science: Sampling Coherent but Cognitively Unavailable Research Directions from Idea Atoms.
CoRR
Alejandro H. Artiles, Martin Weiss, Levin Brinkmann, Anirudh Goyal, Nasim Rahaman
2025 J jnl
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence.
CoRR
Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann, Mar Canet Sola, Hassan Abu Alhaija, Ignacio Serna, Nasim Rahaman, Bernhard Schölkopf, Iyad Rahwan
2025 A conf
MapBot: A Multi-Modal Agent for Geospatial Analysis.
AAMAS
Martin Weiss, Nasim Rahaman, Chris Pal
2024 J jnl
Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art.
CoRR
Alejandro Hernandez, Levin Brinkmann, Ignacio Serna, Nasim Rahaman, Hassan Abu Alhaija, Hiromu Yakura, Mar Canet Sola, Bernhard Schölkopf, Iyad Rahwan
2024 J jnl
Language Models Can Reduce Asymmetry in Information Markets.
CoRR
Nasim Rahaman, Martin Weiss, Manuel Wüthrich, Yoshua Bengio, Li Erran Li, Chris Pal, Bernhard Schölkopf
2024 A* conf
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
ICLR
Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina
2023 A* conf
Discrete Key-Value Bottleneck.
ICML
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
2023 J jnl
The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks.
CoRR
Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina
2022 J jnl
A General Purpose Neural Architecture for Geospatial Systems.
CoRR
Nasim Rahaman, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, Bernhard Schölkopf
2022 A* conf
Coordination Among Neural Modules Through a Shared Global Workspace.
ICLR
Anirudh Goyal, Aniket Rajiv Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Curtis Mozer, Yoshua Bengio
2022 J jnl
Discrete Key-Value Bottleneck.
CoRR
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf
2022 A* conf
Neural Attentive Circuits.
NeurIPS
Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
2022 J jnl
Neural Attentive Circuits.
CoRR
Nasim Rahaman, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas
2021 J jnl
Coordination Among Neural Modules Through a Shared Global Workspace.
CoRR
Anirudh Goyal, Aniket Didolkar, Alex Lamb, Kartikeya Badola, Nan Rosemary Ke, Nasim Rahaman, Jonathan Binas, Charles Blundell, Michael Mozer, Yoshua Bengio
2021 A* conf
Dynamic Inference with Neural Interpreters.
NeurIPS
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
2021 J jnl
Dynamic Inference with Neural Interpreters.
CoRR
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
2021 A* conf
Function Contrastive Learning of Transferable Meta-Representations.
ICML
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wuthrich, Bernhard Schölkopf
2021 A* conf
Predicting Infectiousness for Proactive Contact Tracing.
ICLR
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, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2021 A* conf
Spatially Structured Recurrent Modules.
ICLR
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2021 J jnl
The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning.
IEEE Trans. Pattern Anal. Mach. Intell.
Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht
2020 A* conf
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.
ICLR
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2020 J jnl
COVI White Paper.
CoRR
Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu
2020 J jnl
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
CoRR
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, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio
2020 J jnl
Function Contrastive Learning of Transferable Representations.
CoRR
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich, Bernhard Schölkopf
2020 A* conf
Learning the Arrow of Time for Problems in Reinforcement Learning.
ICLR
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio
2020 J jnl
Predicting Infectiousness for Proactive Contact Tracing.
CoRR
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020 J jnl
S2RMs: Spatially Structured Recurrent Modules.
CoRR
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf
2019 J jnl
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms.
CoRR
Yoshua Bengio, Tristan Deleu, Nasim Rahaman, Nan Rosemary Ke, Sébastien Lachapelle, Olexa Bilaniuk, Anirudh Goyal, Christopher J. Pal
2019 J jnl
Learning the Arrow of Time.
CoRR
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio
2019 A* conf
On the Spectral Bias of Neural Networks.
ICML
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2019 J jnl
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.
CoRR
Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht
2018 J jnl
On the Spectral Bias of Deep Neural Networks.
CoRR
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2018 — conf
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
ECCV (4)
Steffen Wolf, Constantin Pape, Alberto Bailoni, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht