Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Belief-State Query Policies for User-Aligned POMDPs
Daniel Bramblett, Siddharth Srivastava
Published in Advances in Neural Information Processing Systems, 2024
This paper studies query polices for user-aligned decision making in partially observable Markov decision processes.
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava
Published in International Conference on Learning Representations, 2025
This paper evaluates large language models on truth maintenance on translating formal language and reasoning tasks.
Safety Beyond Verification: The Need for Continual, User-Driven Assessment of AI Systems
Siddharth Srivastava, Georgios Fainekos, Pulkit Verma, Daniel Bramblett
Published in IJCAI Workshop on User-Aligned Assessment of Adaptive AI Systems, 2025
Examines the existing researching on assessing the safety and functionality of taskable AI systems that are designed to continually learn and solving user-desired tasks in user-specific environments.
Discovering and Learning Probabilistic Models of Black-Box AI Capabilities
Daniel Bramblett, Rushang Karia, Adrian Ciotinga, Ruthvick Suresh, Pulkit Verma, YooJung Choi, Siddharth Srivastava
Manuscript under review. This manuscript studies methods for discovering and learning probabilistic models of black-box AI system capabilities.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.