Mikail Khona

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Cognitive Tasks

Top Venues

Publications

Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R. Fiete
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models. CoRR (2024)
Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang T. Truong, Yilun Du, Mitchell Ostrow, Sarthak Chandra, Andres Carranza, Ila Rani Fiete, Andrey Gromov, Sanmi Koyejo
Bridging Associative Memory and Probabilistic Modeling. CoRR (2024)
Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. CoRR (2024)
Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR (2024)
Rylan Schaeffer, Mikail Khona, Sanmi Koyejo
In-Context Learning of Energy Functions. CoRR (2024)
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR (2023)
Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks. CoRR (2023)
Mikail Khona, Sarthak Chandra, Joy J. Ma, Ila R. Fiete
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs. Neural Comput. 35 (11) (2023)
Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. NeurIPS (2023)
Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Rani Fiete
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. CoRR (2023)
Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR (2023)
Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete
See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. NeurReps (2022)
Rylan Schaeffer, Mikail Khona, Ila Fiete
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. NeurIPS (2022)
Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete
Efficient online inference for nonparametric mixture models. UAI (2021)
Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS (2020)