Ameet Talwalkar

Venues

Frequent coauthors

Papers

1. Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows
   CHI 2026 ·

   Valerie Chen

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2. Scaling Collaborative Effort with Agents
   ACL 2026 ·

   Shannon Zejiang Shen

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3. Copilot Arena: A Platform for Code LLM Evaluation in the Wild
   ICML 2025 ·

   Wayne Chi

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4. Learning Personalized Decision Support Policies
   AAAI 2025 ·

   Umang Bhatt

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5. Need Help? Designing Proactive AI Assistants for Programming
   CHI 2025 ·

   Valerie Chen

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6. Specialized Foundation Models Struggle to Beat Supervised Baselines
   ICLR 2025 ·

   Zongzhe Xu

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7. Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
   NeurIPS 2025 ·

   Junhong Shen

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8. This Time is Different: An Observability Perspective on Time Series Foundation Models
   NeurIPS 2025 ·

   Ben Cohen

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9. Understanding Optimization in Deep Learning with Central Flows
   ICLR 2025 ·

   Jeremy Cohen

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10. When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback
    ACL 2025 ·

    Jane Pan

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11. Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
    ICLR 2024 ·

    Mikhail Khodak

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12. On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
    AAAI 2024 ·

    Kasun Amarasinghe

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