Hananel Hazan

40 papers A* 2B 2C 1Journal 24Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Diffusion Models are Evolutionary Algorithms.
ICLR
Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
2025 — conf
Position: Stop treating 'AGI' as the north-star goal of AI research.
ICML (Position Papers)
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025 A* conf
Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment.
AAAI
Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen
2025 J jnl
Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators.
CoRR
Alexander Yeung, Peter DelMastro, Arjun Karuvally, Hava T. Siegelmann, Edward A. Rietman, Hananel Hazan
2025 J jnl
Stop treating 'AGI' as the north-star goal of AI research.
CoRR
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A. Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
2025 J jnl
Transient Dynamics in Lattices of Differentiating Ring Oscillators.
CoRR
Peter DelMastro, Arjun Karuvally, Hananel Hazan, Hava T. Siegelmann, Edward A. Rietman
2024 J jnl
Diffusion Models are Evolutionary Algorithms.
CoRR
Yanbo Zhang, Benedikt Hartl, Hananel Hazan, Michael Levin
2024 J jnl
Heuristically Adaptive Diffusion-Model Evolutionary Strategy.
CoRR
Benedikt Hartl, Yanbo Zhang, Hananel Hazan, Michael Levin
2024 J jnl
Quantifying Misalignment Between Agents.
CoRR
Aidan Kierans, Avijit Ghosh, Hananel Hazan, Shiri Dori-Hacohen
2023 J jnl
Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference.
IEEE Trans. Mol. Biol. Multi Scale Commun.
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
2023 J jnl
Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.
IEEE Trans. Mol. Biol. Multi Scale Commun.
Chris Fields, Filippo Fabrocini, Karl J. Friston, James F. Glazebrook, Hananel Hazan, Michael Levin, Antonino Marciano
2022 — conf
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine.
NANOARCH
Alex Henderson, Chris Yakopcic, Steven Harbour, Tarek M. Taha, Cory E. Merkel, Hananel Hazan
2022 J jnl
Memory via Temporal Delays in weightless Spiking Neural Network.
CoRR
Hananel Hazan, Simon Caby, Christopher Earl, Hava T. Siegelmann, Michael Levin
2022 J jnl
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning.
Frontiers Comput. Neurosci.
Daniel Hasegan, Matt Deible, Christopher Earl, David Donofrio, Hananel Hazan, Haroon Anwar, Samuel A. Neymotin
2020 J jnl
Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.
Ann. Math. Artif. Intell.
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games.
CoRR
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game.
Neural Networks
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data.
CoRR
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning.
CoRR
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Locally connected spiking neural networks for unsupervised feature learning.
Neural Networks
Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
2019 J jnl
Reinforcement learning with spiking coagents.
CoRR
Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma
2018 J jnl
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Frontiers Neuroinformatics
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018 J jnl
BindsNET: A machine learning-oriented spiking neural networks library in Python.
CoRR
Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018 B conf
Unsupervised Learning with Self-Organizing Spiking Neural Networks.
IJCNN
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2018 J jnl
Unsupervised Learning with Self-Organizing Spiking Neural Networks.
CoRR
Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma
2016 B conf
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI.
IJCNN
Tali Bitan, Alex Frid, Hananel Hazan, Larry M. Manevitz, Haim Shalelashvili, Yael Weiss
2016 J jnl
The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.
Trans. Comput. Collect. Intell.
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
2015 — conf
Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.
IJCCI (NCTA)
Alex Frid, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Maayan Merhav, Gal Star
2015 J jnl
Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Neural Networks
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
2014 — conf
Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques.
SwSTE
Alex Frid, Hananel Hazan, Dan Hilu, Larry M. Manevitz, Lorraine O. Ramig, Shimon Sapir
2014 — conf
Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract.
SwSTE
Alex Frid, Hananel Hazan, Larry M. Manevitz
2013 — —
Temporal classification and computation tools inspired by biological neurons.
Hananel Hazan
2012 J jnl
Topological constraints and robustness in liquid state machines.
Expert Syst. Appl.
Hananel Hazan, Larry M. Manevitz
2011 — conf
Learning BOLD Response in fMRI by Reservoir Computing.
PRNI
Paolo Avesani, Hananel Hazan, Ester Koilis, Larry M. Manevitz, Diego Sona
2010 — conf
Interactions between Hemispheres When Disambiguating Ambiguous Homograph Words during Silent Reading.
IJCCI (ICFC-ICNC)
Zohar Eviatar, Hananel Hazan, Larry M. Manevitz, Orna Peleg, Rom Timor
2010 — conf
Stability and Topology in Reservoir Computing.
MICAI (2)
Larry M. Manevitz, Hananel Hazan
2010 — conf
The Liquid State Machine is not Robust to Problems in Its Components but Topological Constraints Can Restore Robustness.
IJCCI (ICFC-ICNC)
Hananel Hazan, Larry M. Manevitz
2010 J jnl
Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words.
Ann. Math. Artif. Intell.
Orna Peleg, Larry M. Manevitz, Hananel Hazan, Zohar Eviatar
2007 — conf
Differences and Interactions Between Cerebral Hemispheres When Processing Ambiguous Words.
WAPCV
Orna Peleg, Zohar Eviatar, Hananel Hazan, Larry M. Manevitz
2007 C conf
Using Neural Network Models to Model Cerebral Hemispheric Differences in Processing Ambiguous Words.
NeSy
Orna Peleg, Zohar Eviatar, Larry M. Manevitz, Hananel Hazan