Arts and Science

2024

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds

Kuoch, M., Chou, C. N., Parthasarathy, N., Dapello, J., DiCarlo, J. J., Sompolinsky, H. & Chung, S. Y., 2024, In: Proceedings of Machine Learning Research. 234, p. 395-418 24 p.

Research output: Contribution to journal › Conference article › peer-review

Structurally Guided Task Decomposition in Spatial Navigation Tasks

He, R., Correa, C. G., Griffiths, T. L. & Ho, M. K., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 21, p. 23512-23513 2 p.

Research output: Contribution to journal › Conference article › peer-review

Open Access

2023

AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies

Martinkus, K., Ludwiczak, J., Cho, K., Liang, W. C., Lafrance-Vanasse, J., Hotzel, I., Rajpal, A., Wu, Y., Bonneau, R., Gligorijevic, V. & Loukas, A., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons

Duong, L. R., Lipshutz, D., Heeger, D. J., Chklovskii, D. B. & Simoncelli, E. P., 2023, In: Proceedings of Machine Learning Research. 202, p. 8902-8921 20 p.

Research output: Contribution to journal › Conference article › peer-review

Adaptive whitening with fast gain modulation and slow synaptic plasticity

Duong, L. R., Simoncelli, E. P., Chklovskii, D. B. & Lipshutz, D., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers

Dell, M., Carlson, J., Bryan, T., Silcock, E., Arora, A., Shen, Z., D'Amico-Wong, L., Le, Q., Querubin, P. & Heldring, L., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

A polar prediction model for learning to represent visual transformations

Fiquet, P. É. H. & Simoncelli, E. P., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Comparing neural models using their perceptual discriminability predictions

Zhou, J. Y., Chun, C., Subramanian, A. & Simoncelli, E. P., 2023, In: Proceedings of Machine Learning Research. 243, p. 315-325 11 p.

Research output: Contribution to journal › Conference article › peer-review

Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation

Peng, A., Netanyahu, A., Ho, M., Shu, T., Bobu, A., Shah, J. & Agrawal, P., 2023, In: Proceedings of Machine Learning Research. 202, p. 27630-27641 12 p.

Research output: Contribution to journal › Conference article › peer-review

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations

Harvey, S. E., Larsen, B. W. & Williams, A. H., 2023, In: Proceedings of Machine Learning Research. 243, p. 60-75 16 p.

Research output: Contribution to journal › Conference article › peer-review

Efficient Coding of Natural Images using Maximum Manifold Capacity Representations

Yerxa, T., Kuang, Y., Simoncelli, E. & Chung, S. Y., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Formalizing locality for normative synaptic plasticity models

Bredenberg, C., Williams, E., Savin, C., Richards, B. & Lajoie, G., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Human-Guided Complexity-Controlled Abstractions

Peng, A., Tucker, M., Kenny, E. M., Zaslavsky, N., Agrawal, P. & Shah, J. A., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Turpin, M., Michael, J., Perez, E. & Bowman, S. R., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Planning By Active Sensing

Lakshminarasimhan, K., Zhu, S. & Angelaki, D., 2023, In: Proceedings of Machine Learning Research. 226

Research output: Contribution to journal › Conference article › peer-review

Pretraining Language Models with Human Preferences

Korbak, T., Shi, K., Chen, A., Bhalerao, R., Buckley, C. L., Phang, J., Bowman, S. R. & Perez, E., 2023, In: Proceedings of Machine Learning Research. 202, p. 17506-17533 28 p.

Research output: Contribution to journal › Conference article › peer-review

Soft Matching Distance: A metric on neural representations that captures single-neuron tuning

Khosla, M. & Williams, A. H., 2023, In: Proceedings of Machine Learning Research. 243, p. 133-143 11 p.

Research output: Contribution to journal › Conference article › peer-review

Spatial-frequency channels, shape bias, and adversarial robustness

Subramanian, A., Sizikova, E., Majaj, N. J. & Pelli, D. G., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies

Soo, W. W. M., Goudar, V. & Wang, X. J., 2023, In: Advances in Neural Information Processing Systems. 36

Research output: Contribution to journal › Conference article › peer-review

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry

Ligeralde, A., Kuang, Y., Yerxa, T. E., Pitcher, M. N., Feller, M. & Chung, S. Y., 2023, In: Proceedings of Machine Learning Research. 243, p. 182-193 12 p.

Research output: Contribution to journal › Conference article › peer-review

2021

An automatic framework to continuously monitor multi-platform information spread

Chen, Z., Aslett, K., Rosiere, J., Reynolds, J. F., Nagler, J., Tucker, J. A. & Bonneau, R., 2021, In: CEUR Workshop Proceedings. 2890

Research output: Contribution to journal › Conference article › peer-review

Measuring belief in fake news in real-time

Aslett, K., Godel, W., Sanderson, Z., Persily, N., Nagler, J., Bonneau, R. & Tucker, J. A., 2021, In: CEUR Workshop Proceedings. 2890

Research output: Contribution to journal › Conference article › peer-review

2020

A benchmark for systematic generalization in grounded language understanding

Ruis, L., Andreas, J., Baroni, M., Bouchacourt, D. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Deep graph pose: A semi-supervised deep graphical model for improved animal pose tracking

The International Brain Laboratory, 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Efficient estimation of neural tuning during naturalistic behavior

Balzani, E., Lakshminarasimhan, K., Angelaki, D. E. & Savin, C., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Learning compositional rules via neural program synthesis

Nye, M. I., Solar-Lezama, A., Tenenbaum, J. B. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Learning efficient task-dependent representations with synaptic plasticity

Bredenberg, C., Simoncelli, E. P. & Savin, C., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Mutual exclusivity as a challenge for deep neural networks

Gandhi, K. & Lake, B., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

On 1/n neural representation and robustness

Nassar, J., Sokol, P. A., Chung, S. Y., Harris, K. D. & Park, I. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Optimal adaptive electrode selection to maximize simultaneously recorded neuron yield

Choi, J., Kumar, K., Khazali, M., Wingel, K., Choudhury, M., Charles, A. & Pesaran, B., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Point process models for sequence detection in high-dimensional neural spike trains

Williams, A. H., Degleris, A., Wang, Y. & Linderman, S. W., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Self-supervised learning through the eyes of a child

Emin Orhan, A., Gupta, V. V. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

2019

Can unconditional language models recover arbitrary sentences?

Subramani, N., Bowman, S. R. & Cho, K., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Compositional generalization through meta sequence-to-sequence learning

Lake, B. M., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Flexible information routing in neural populations through stochastic comodulation

Haimerl, C., Savin, C. & Simoncelli, E. P., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

On the utility of learning about humans for Human-AI coordination

Carroll, M., Shah, R., Ho, M. K., Griffiths, T. L., Seshia, S. A., Abbeel, P. & Dragan, A., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics

Maheswaranathan, N., Williams, A. H., Golub, M. D., Ganguli, S. & Sussillo, D., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

SuperGLUE: A stickier benchmark for general-purpose language understanding systems

Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O. & Bowman, S. R., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Universality and individuality in neural dynamics across large populations of recurrent networks

Maheswaranathan, N., Williams, A. H., Golub, M. D., Ganguli, S. & Sussillo, D., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Untangling in invariant speech recognition

Stephenson, C., Feather, J., Padhy, S., Elibol, O., Tang, H., McDermott, J. & Chung, S. Y., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

2018

Learning task specifications from demonstrations

Vazquez-Chanlatte, M., Jha, S., Tiwari, A., Ho, M. K. & Seshia, S. A., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 5367-5377 11 p.

Research output: Contribution to journal › Conference article › peer-review