Mariya Toneva

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Scene Understanding

Top Venues

Frontiers Comput. Neurosci.

Publications

Ruchit Rawal, Mariya Toneva
Perturbed examples reveal invariances shared by language models. ACL (Findings) (2024)
Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
Speech language models lack important brain-relevant semantics. ACL (1) (2024)
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
Pointwise Representational Similarity. CoRR (2023)
Ruchit Rawal, Mariya Toneva
Perturbed examples reveal invariances shared by language models. CoRR (2023)
Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoLLAs (2023)
Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoRR (2023)
Khai Loong Aw, Mariya Toneva
Training language models to summarize narratives improves brain alignment. ICLR (2023)
Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
Large language models can segment narrative events similarly to humans. CoRR (2023)
Dota Tianai Dong, Mariya Toneva
Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain. CoRR (2023)
Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. NeurIPS (2023)
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
Getting aligned on representational alignment. CoRR (2023)
Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
Speech language models lack important brain-relevant semantics. CoRR (2023)
Gabriele Merlin, Mariya Toneva
Language models and brain alignment: beyond word-level semantics and prediction. CoRR (2022)
Khai Loong Aw, Mariya Toneva
Training language models for deeper understanding improves brain alignment. CoRR (2022)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva
Deep Learning for Brain Encoding and Decoding. CogSci (2022)
Mariya Toneva, Tom M. Mitchell, Leila Wehbe
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2 (11) (2022)
Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. CoRR (2022)
Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
Same Cause; Different Effects in the Brain. CLeaR (2022)
Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe
Same Cause; Different Effects in the Brain. CoRR (2022)
Srinivas Ravishankar, Mariya Toneva, Leila Wehbe
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers Comput. Neurosci. 15 (2021)
Mostafa Abdou, Ana Valeria González-Garduño, Mariya Toneva, Daniel Hershcovich, Anders Søgaard
Does injecting linguistic structure into language models lead to better alignment with brain recordings? CoRR (2021)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR (2020)
Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS (2020)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) (2019)
Mariya Toneva, Leila Wehbe
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). NeurIPS (2019)
Dan Schwartz, Mariya Toneva, Leila Wehbe
Inducing brain-relevant bias in natural language processing models. NeurIPS (2019)
Mariya Toneva, Leila Wehbe
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). CoRR (2019)
Dan Schwartz, Mariya Toneva, Leila Wehbe
Inducing brain-relevant bias in natural language processing models. CoRR (2019)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR (2018)
Elissa Michele Aminoff, Mariya Toneva, Abhinav Shrivastava, Xinlei Chen, Ishan Misra, Abhinav Gupta, Michael J. Tarr
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9 (2015)
Ahsan Nawroj, Mariya Toneva, Henny Admoni, Brian Scassellati
An Exploration of Social Grouping in Robots: Effects of Behavioral Mimicry, Appearance, and Eye Gaze. CogSci (2014)
Daniel Leyzberg, Samuel Spaulding, Mariya Toneva, Brian Scassellati
The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains. CogSci (2012)
Henny Admoni, Caroline Bank, Joshua Tan, Mariya Toneva, Brian Scassellati
Robot gaze does not reflexively cue human attention. CogSci (2011)