Mariya Toneva - RankMe

57 papers A* 8A 1B 6Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tracking Equivalent Mechanistic Interpretations Across Neural Networks. CoRR Alan Sun, Mariya Toneva
2026	J	`jnl`	When Language Models Lose Their Mind: The Consequences of Brain Misalignment. CoRR Gabriele Merlin, Mariya Toneva
2025	A	`conf`	Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain. INTERSPEECH Omer Moussa, Mariya Toneva
2025	J	`jnl`	Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain. CoRR Omer Moussa, Mariya Toneva
2025	J	`jnl`	Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models. CoRR Omer Moussa, Mariya Toneva
2025	J	`jnl`	CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion. CoRR Cameron Braunstein, Mariya Toneva, Eddy Ilg
2025	J	`jnl`	Fine-grained Analysis of Brain-LLM Alignment through Input Attribution. CoRR Michela Proietti, Roberto Capobianco, Mariya Toneva
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	A*	`conf`	Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations. ICSE Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva
2025	J	`jnl`	How do Humans and LLMs Process Confusing Code? CoRR Youssef Abdelsalam, Norman Peitek, Anna-Maria Maurer, Mariya Toneva, Sven Apel
2025	A*	`conf`	Improving Semantic Understanding in Speech Language Models via Brain-tuning. ICLR Omer Moussa, Dietrich Klakow, Mariya Toneva
2025	J	`jnl`	Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity. Trans. Mach. Learn. Res. Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2025	J	`jnl`	Large Language Models as Model Organisms for Human Associative Learning. CoRR Camila Kolling, Vy Ai Vo, Mariya Toneva
2025	J	`jnl`	Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents. CoRR Mathis Pink, Qinyuan Wu, Vy Ai Vo, Javier Turek, Jianing Mu, Alexander Huth, Mariya Toneva
2025	J	`jnl`	Positional Biases Shift as Inputs Approach Context Window Limits. CoRR Blerta Veseli, Julian Chibane, Mariya Toneva, Alexander Koller
2025	J	`jnl`	The One Where They Brain-Tune for Social Cognition: Multi-Modal Brain-Tuning on Friends. CoRR Nico Policzer, Cameron Braunstein, Mariya Toneva
2024	J	`jnl`	Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. CoRR Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva
2024	J	`jnl`	Hints Help Finding and Fixing Bugs Differently in Python and Text-based Program Representations. CoRR Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva
2024	J	`jnl`	Improving semantic understanding in speech language models via brain-tuning. CoRR Omer Moussa, Dietrich Klakow, Mariya Toneva
2024	B	`conf`	Is Deep Learning the Answer for Understanding Human Cognitive Dynamics? CogSci John P. Spencer, Brenden M. Lake, Raul Grieben, Gregor Schöner, Mariya Toneva, Gina R. Kuperberg
2024	A*	`conf`	Language models and brains align due to more than next-word prediction and word-level information. EMNLP Gabriele Merlin, Mariya Toneva
2024	—	`conf`	Perturbed examples reveal invariances shared by language models. ACL (Findings) Ruchit Rawal, Mariya Toneva
2024	B	`ed.`	Proceedings of the 46th Annual Meeting of the Cognitive Science Society, CogSci 2024, Rotterdam, The Netherlands, July 24-27, 2024 CogSci Larissa K. Samuelson, Stefan Frank, Mariya Toneva, Allyson Mackey, Eliot Hazeltine
2024	J	`jnl`	SLayR: Scene Layout Generation with Rectified Flow. CoRR Cameron Braunstein, Hevra Petekkaya, Jan Eric Lenssen, Mariya Toneva, Eddy Ilg
2024	—	`conf`	Speech language models lack important brain-relevant semantics. ACL (1) Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
2023	J	`jnl`	Getting aligned on representational alignment. CoRR Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023	A*	`conf`	Joint processing of linguistic properties in brains and language models. NeurIPS Subba Reddy Oota, Manish Gupta, Mariya Toneva
2023	J	`jnl`	Large language models can segment narrative events similarly to humans. CoRR Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
2023	J	`jnl`	Perturbed examples reveal invariances shared by language models. CoRR Ruchit Rawal, Mariya Toneva
2023	J	`jnl`	Pointwise Representational Similarity. CoRR Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2023	J	`jnl`	Speech language models lack important brain-relevant semantics. CoRR Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
2023	A*	`conf`	Training language models to summarize narratives improves brain alignment. ICLR Khai Loong Aw, Mariya Toneva
2023	J	`jnl`	Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain. CoRR Dota Tianai Dong, Mariya Toneva
2023	—	`conf`	What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoLLAs Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
2023	J	`jnl`	What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoRR Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
2022	—	`—`	Bridging Language in Machines with Language in the Brain Mariya Toneva
2022	J	`jnl`	Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. Mariya Toneva, Tom M. Mitchell, Leila Wehbe
2022	B	`conf`	Deep Learning for Brain Encoding and Decoding. CogSci Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva
2022	J	`jnl`	Joint processing of linguistic properties in brains and language models. CoRR Subba Reddy Oota, Manish Gupta, Mariya Toneva
2022	J	`jnl`	Language models and brain alignment: beyond word-level semantics and prediction. CoRR Gabriele Merlin, Mariya Toneva
2022	—	`conf`	Same Cause; Different Effects in the Brain. CLeaR Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
2022	J	`jnl`	Same Cause; Different Effects in the Brain. CoRR Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
2022	J	`jnl`	Training language models for deeper understanding improves brain alignment. CoRR Khai Loong Aw, Mariya Toneva
2021	J	`jnl`	Does injecting linguistic structure into language models lead to better alignment with brain recordings? CoRR Mostafa Abdou, Ana Valeria González-Garduño, Mariya Toneva, Daniel Hershcovich, Anders Søgaard
2021	J	`jnl`	Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers Comput. Neurosci. Srinivas Ravishankar, Mariya Toneva, Leila Wehbe
2020	A*	`conf`	Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
2020	J	`jnl`	Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
2019	—	`conf`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2019	A*	`conf`	Inducing brain-relevant bias in natural language processing models. NeurIPS Dan Schwartz, Mariya Toneva, Leila Wehbe
2019	J	`jnl`	Inducing brain-relevant bias in natural language processing models. CoRR Dan Schwartz, Mariya Toneva, Leila Wehbe
2019	A*	`conf`	Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). NeurIPS Mariya Toneva, Leila Wehbe
2019	J	`jnl`	Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). CoRR Mariya Toneva, Leila Wehbe
2018	J	`jnl`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2015	J	`jnl`	Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr
2014	B	`conf`	An Exploration of Social Grouping in Robots: Effects of Behavioral Mimicry, Appearance, and Eye Gaze. CogSci Ahsan Nawroj, Mariya Toneva, Henny Admoni, Brian Scassellati
2012	B	`conf`	The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains. CogSci Daniel Leyzberg, Samuel Spaulding, Mariya Toneva, Brian Scassellati
2011	B	`conf`	Robot gaze does not reflexively cue human attention. CogSci Henny Admoni, Caroline Bank, Joshua Tan, Mariya Toneva, Brian Scassellati