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ORCIDNikhil Prakash
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2020 – today
- 2025
[c7]Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau:
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. ICLR 2025- 2024
- [c6]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR 2024 - [i5]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR abs/2402.14811 (2024) - [i4]Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau:
NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR abs/2407.14561 (2024) - [i3]Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov:
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. CoRR abs/2408.01416 (2024) - 2023
- [c5]Zahra Nouri, Nikhil Prakash, Ujwal Gadiraju, Henning Wachsmuth:
Supporting Requesters in Writing Clear Crowdsourcing Task Descriptions Through Computational Flaw Assessment. IUI 2023: 737-749 - [i2]Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau:
Discovering Variable Binding Circuitry with Desiderata. CoRR abs/2307.03637 (2023) - 2021
- [c4]Nikhil Prakash, Andrea Manconi:
Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020. IGARSS 2021: 1808-1811 - 2020
- [j1]Nikhil Prakash, Andrea Manconi, Simon Loew:
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models. Remote. Sens. 12(3): 346 (2020) - [c3]Nikhil Prakash, David G. Michelson, Chen Feng:
CVIN: Connected Vehicle Information Network. VTC Spring 2020: 1-6 - [i1]Nikhil Prakash, Kory W. Mathewson:
Conceptualization and Framework of Hybrid Intelligence Systems. CoRR abs/2012.06161 (2020)
2010 – 2019
- 2019
- [c2]Amit Kumar Verma, Nikhil Prakash:
A Grid-based Model for Generating Scale-Free Networks. COMSNETS 2019: 732-736 - 2018
- [c1]Dan Williams, Ricardo Koller, Martin Lucina, Nikhil Prakash:
Unikernels as Processes. SoCC 2018: 199-211
Coauthor Index
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