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Mariya Toneva
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2020 – today
- 2024
- [c15]Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva:
Speech language models lack important brain-relevant semantics. ACL (1) 2024: 8503-8528 - [c14]Ruchit Rawal, Mariya Toneva:
Perturbed examples reveal invariances shared by language models. ACL (Findings) 2024: 11564-11584 - [c13]Gabriele Merlin, Mariya Toneva:
Language models and brains align due to more than next-word prediction and word-level information. EMNLP 2024: 18431-18454 - [i18]Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva:
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. CoRR abs/2410.08133 (2024) - [i17]Omer Moussa, Dietrich Klakow, Mariya Toneva:
Improving semantic understanding in speech language models via brain-tuning. CoRR abs/2410.09230 (2024) - 2023
- [c12]Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva:
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoLLAs 2023: 601-619 - [c11]Khai Loong Aw, Mariya Toneva:
Training language models to summarize narratives improves brain alignment. ICLR 2023 - [c10]Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. NeurIPS 2023 - [i16]Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
:
Large language models can segment narrative events similarly to humans. CoRR abs/2301.10297 (2023) - [i15]Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
Pointwise Representational Similarity. CoRR abs/2305.19294 (2023) - [i14]Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva:
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. CoRR abs/2307.06006 (2023) - [i13]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
Getting aligned on representational alignment. CoRR abs/2310.13018 (2023) - [i12]Ruchit Rawal, Mariya Toneva:
Perturbed examples reveal invariances shared by language models. CoRR abs/2311.04166 (2023) - [i11]Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva:
Speech language models lack important brain-relevant semantics. CoRR abs/2311.04664 (2023) - [i10]Dota Tianai Dong, Mariya Toneva:
Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain. CoRR abs/2311.07766 (2023) - 2022
- [j3]Mariya Toneva
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2(11): 745-757 (2022) - [c9]Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe:
Same Cause; Different Effects in the Brain. CLeaR 2022: 787-825 - [c8]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva:
Deep Learning for Brain Encoding and Decoding. CogSci 2022 - [i9]Mariya Toneva, Jennifer Williams, Anand Bollu, Christoph Dann, Leila Wehbe:
Same Cause; Different Effects in the Brain. CoRR abs/2202.10376 (2022) - [i8]Gabriele Merlin, Mariya Toneva
Language models and brain alignment: beyond word-level semantics and prediction. CoRR abs/2212.00596 (2022) - [i7]Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. CoRR abs/2212.08094 (2022) - [i6]Khai Loong Aw, Mariya Toneva
Training language models for deeper understanding improves brain alignment. CoRR abs/2212.10898 (2022) - 2021
- [j2]Srinivas Ravishankar, Mariya Toneva
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers Comput. Neurosci. 15: 737324 (2021) - [i5]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 abs/2101.12608 (2021) - 2020
- [c7]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 - [i4]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 abs/2009.08424 (2020)
2010 – 2019
- 2019
- [c6]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 - [c5]Dan Schwartz, Mariya Toneva, Leila Wehbe:
Inducing brain-relevant bias in natural language processing models. NeurIPS 2019: 14100-14110 - [c4]Mariya Toneva, Leila Wehbe:
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). NeurIPS 2019: 14928-14938 - [i3]Mariya Toneva, Leila Wehbe:
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). CoRR abs/1905.11833 (2019) - [i2]Dan Schwartz, Mariya Toneva, Leila Wehbe:
Inducing brain-relevant bias in natural language processing models. CoRR abs/1911.03268 (2019) - 2018
- [i1]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 abs/1812.05159 (2018) - 2015
- [j1]Elissa Michele Aminoff
Applying artificial vision models to human scene understanding. Frontiers Comput. Neurosci. 9: 8 (2015) - 2014
- [c3]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 - 2012
- [c2]Daniel Leyzberg, Samuel Spaulding, Mariya Toneva, Brian Scassellati:
The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains. CogSci 2012 - 2011
- [c1]Henny Admoni, Caroline Bank, Joshua Tan, Mariya Toneva, Brian Scassellati:
Robot gaze does not reflexively cue human attention. CogSci 2011
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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