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Mikail Khona
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2020 – today
- 2024
- [i10]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 abs/2402.07757 (2024) - [i9]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 abs/2402.10202 (2024) - [i8]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 abs/2403.03230 (2024) - [i7]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 abs/2406.09366 (2024) - [i6]Rylan Schaeffer, Mikail Khona, Sanmi Koyejo:
In-Context Learning of Energy Functions. CoRR abs/2406.12785 (2024) - [i5]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 abs/2406.14549 (2024) - 2023
- [j1]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): 1850-1869 (2023) - [c5]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 - [i4]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 abs/2303.14151 (2023) - [i3]Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark:
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR abs/2310.07711 (2023) - [i2]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 abs/2311.02316 (2023) - [i1]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 abs/2311.12997 (2023) - 2022
- [c4]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: 388-400 - [c3]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 - 2021
- [c2]Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete:
Efficient online inference for nonparametric mixture models. UAI 2021: 2072-2081 - 2020
- [c1]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
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last updated on 2024-08-05 21:18 CEST by the dblp team
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