Mikail Khona - RankMe

21 papers A* 7A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. ICML Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana
2025	A*	`conf`	Uncovering Latent Memories in Large Language Models. ICLR Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R. Fiete
2024	J	`jnl`	Bridging Associative Memory and Probabilistic Modeling. CoRR 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
2024	A*	`conf`	Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks. ICML Rahul Ramesh, Ekdeep Singh Lubana, Mikail Khona, Robert P. Dick, Hidenori Tanaka
2024	J	`jnl`	In-Context Learning of Energy Functions. CoRR Rylan Schaeffer, Mikail Khona, Sanmi Koyejo
2024	J	`jnl`	Large language models surpass human experts in predicting neuroscience results. CoRR 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
2024	J	`jnl`	Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing. CoRR Kento Nishi, Maya Okawa, Rahul Ramesh, Mikail Khona, Ekdeep Singh Lubana, Hidenori Tanaka
2024	J	`jnl`	Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR 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
2024	A*	`conf`	Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. ICML Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024	J	`jnl`	Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model. CoRR Mikail Khona, Maya Okawa, Jan Hula, Rahul Ramesh, Kento Nishi, Robert P. Dick, Ekdeep Singh Lubana, Hidenori Tanaka
2024	J	`jnl`	Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Large Language Models. CoRR Sunny Duan, Mikail Khona, Abhiram Iyer, Rylan Schaeffer, Ila R. Fiete
2023	J	`jnl`	Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo
2023	J	`jnl`	Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark
2023	J	`jnl`	How Capable Can a Transformer Become? A Study on Synthetic, Interpretable Tasks. CoRR Rahul Ramesh, Mikail Khona, Robert P. Dick, Hidenori Tanaka, Ekdeep Singh Lubana
2023	A*	`conf`	Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. NeurIPS Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete
2023	J	`jnl`	Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. CoRR Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Rani Fiete
2023	J	`jnl`	Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs. Neural Comput. Mikail Khona, Sarthak Chandra, Joy J. Ma, Ila R. Fiete
2022	A*	`conf`	No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. NeurIPS Rylan Schaeffer, Mikail Khona, Ila Fiete
2022	—	`conf`	See and Copy: Generation of complex compositional movements from modular and geometric RNN representations. NeurReps Sunny Duan, Mikail Khona, Adrian Bertagnoli, Sarthak Chandra, Ila Fiete
2021	A	`conf`	Efficient online inference for nonparametric mixture models. UAI Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Rani Fiete
2020	A*	`conf`	Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice. NeurIPS Rylan Schaeffer, Mikail Khona, Leenoy Meshulam, International Brain Laboratory, Ila Fiete