• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 94 matches

• 2024
• 
  Khoa Lam, Benjamin Lange, Borhane Blili-Hamelin, Jovana Davidovic, Shea Brown, Ali Hasan:
  A Framework for Assurance Audits of Algorithmic Systems. FAccT 2024: 1078-1092
• 
  Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie:
  How connectivity structure shapes rich and lazy learning in neural circuits. ICLR 2024
• 
  Khoa Lam, Benjamin Lange, Borhane Blili-Hamelin, Jovana Davidovic, Shea Brown, Ali Hasan:
  A Framework for Assurance Audits of Algorithmic Systems. CoRR abs/2401.14908 (2024)
• 2023
• 
  Chloe N. Winston, Dana Mastrovito, Eric Shea-Brown, Stefan Mihalas:
  Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. Neural Comput. 35(4): 555-592 (2023)
• 
  Margot Juliëtte Overman, Verena Sarrazin, Michael D. Browning, Jacinta O'Shea:
  Stimulating human prefrontal cortex increases reward learning. NeuroImage 271: 120029 (2023)
• 
  Doris Voina, Eric Shea-Brown, Stefan Mihalas:
  A biologically inspired architecture with switching units can learn to generalize across backgrounds. Neural Networks 168: 615-630 (2023)
• 
  Daniel N. Zdeblick, Eric Shea-Brown, Daniela M. Witten, Michael A. Buice:
  Modeling functional cell types in spike train data. PLoS Comput. Biol. 19(10) (2023)
• 
  Shirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown:
  Expressive probabilistic sampling in recurrent neural networks. NeurIPS 2023
• 
  Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao, Eric Shea-Brown:
  Expressive probabilistic sampling in recurrent neural networks. CoRR abs/2308.11809 (2023)
• 
  Shirui Chen, Stefano Recanatesi, Eric Shea-Brown:
  A simple connection from loss flatness to compressed representations in neural networks. CoRR abs/2310.01770 (2023)
• 
  Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric Shea-Brown, Guillaume Lajoie:
  How connectivity structure shapes rich and lazy learning in neural circuits. CoRR abs/2310.08513 (2023)
• 
  Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim:
  Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR abs/2311.06928 (2023)
• 
  James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown:
  Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs. CoRR abs/2311.10869 (2023)
• 2022
• 
  Radhya Sahal, Saeed H. Alsamhi, Kenneth N. Brown, Donna O'Shea, Bader Alouffi:
  Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case. Comput. Intell. Neurosci. 2022: 7786441:1-7786441:14 (2022)
• 
  Ali Hasan, Shea Brown, Jovana Davidovic, Benjamin Lange, Mitt Regan:
  Algorithmic Bias and Risk Assessments: Lessons from Practice. Digit. Soc. 1(2) (2022)
• 
  Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
  Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. Nat. Mach. Intell. 4(6): 564-573 (2022)
• 
  Matthew Farrell, Stefano Recanatesi, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown:
  Author Correction: Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion. Nat. Mac. Intell. 4(11): 1053 (2022)
• 
  Doris Voina, Stefano Recanatesi, Brian Hu, Eric Shea-Brown, Stefan Mihalas:
  Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch. Neural Comput. 34(3): 541-594 (2022)
• 
  Stefano Recanatesi, Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown:
  A scale-dependent measure of system dimensionality. Patterns 3(8): 100555 (2022)
• 
  Jianghong Shi, Bryan P. Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice:
  MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. PLoS Comput. Biol. 18(9): 1010427 (2022)
• 
  Nicholas E. Brown, Johan F. Rojas, Nicholas A. Goberville, Hamzeh Alzubi, Qusay AlRousan, Chieh Ross Wang, Shean Huff, Jackeline Rios-Torres, Ali Riza Ekti, Tim J. LaClair, Richard T. Meyer, Zachary D. Asher:
  Development of an Energy Efficient and Cost Effective Autonomous Vehicle Research Platform. Sensors 22(16): 5999 (2022)
• 
  Ian Good, Tosh Brown-Moore, Aditya Patil, Daniel Revier, Jeffrey Ian Lipton:
  Expanding the Design Space for Electrically-Driven Soft Robots Through Handed Shearing Auxetics. ICRA 2022: 10951-10957
• 
  Sachin Sharma, Ali Riza Ekti, Johan F. Rojas, Nicholas E. Brown, David Pesin, Chieh Ross Wang, Shean Huff, Tim J. LaClair, Zachary D. Asher, Richard T. Meyer:
  Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection. IEEE SENSORS 2022: 1-4
• 
  Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie:
  Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. NeurIPS 2022
• 
  Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
  Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. NeurIPS 2022
• 
  Jianghong Shi, Eric Shea-Brown, Michael A. Buice:
  Learning dynamics of deep linear networks with multiple pathways. NeurIPS 2022
• 
  Yuhan Helena Liu, Arna Ghosh, Blake A. Richards, Eric Shea-Brown, Guillaume Lajoie:
  Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules. CoRR abs/2206.00823 (2022)
• 
  Yuhan Helena Liu, Stephen Smith, Stefan Mihalas, Eric Shea-Brown, Uygar Sümbül:
  Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators. CoRR abs/2206.01338 (2022)
• 2021
• 
  Shea Brown, Jovana Davidovic, Ali Hasan:
  The algorithm audit: Scoring the algorithms that score us. Big Data Soc. 8(1): 205395172098386 (2021)
• 
  Adam Brown, Bei Wang:
  Sheaf-Theoretic Stratification Learning from Geometric and Topological Perspectives. Discret. Comput. Geom. 65(4): 1166-1198 (2021)

skipping 64 more matches