Ashish Kapoor
Identifiers
- name variant Ashish Kapoor 0.60 · backfill
Papers (27)
- Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic cs.LG · 2026 · author #3
- Characterizing Bias in Classifiers using Generative Models cs.CV · 2019 · author #4
- Synthetic Examples Improve Generalization for Rare Classes cs.CV · 2019 · author #5
- Identifying Bias in AI using Simulation cs.LG · 2018 · author #3
- Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility cs.CV · 2018 · author #4
- Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards cs.AI · 2018 · author #2
- Verifying Controllers Against Adversarial Examples with Bayesian Optimization cs.SY · 2018 · author #5
- Data-driven Planning via Imitation Learning cs.RO · 2017 · author #4
- Active Learning amidst Logical Knowledge cs.AI · 2017 · author #2
- Adaptive Information Gathering via Imitation Learning cs.RO · 2017 · author #2
- AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles cs.RO · 2017 · author #4
- Submodular Trajectory Optimization for Aerial 3D Scanning cs.CV · 2017 · author #6
- Learning to Gather Information via Imitation cs.RO · 2016 · author #2
- Probabilistic Safety Programs cs.RO · 2016 · author #1
- Risk-Aware Algorithms for Adversarial Contextual Bandits cs.LG · 2016 · author #3
- Fast Second-order Cone Programming for Safe Mission Planning cs.RO · 2016 · author #3
- No-Regret Replanning under Uncertainty cs.RO · 2016 · author #6
- Quantum Perceptron Models quant-ph · 2016 · author #2
- Bayesian inference via rejection filtering cs.LG · 2015 · author #3
- Safe Control under Uncertainty cs.SY · 2015 · author #2
- Quantum Inspired Training for Boltzmann Machines cs.LG · 2015 · author #2
- Inferring and Learning from Neuronal Correspondences q-bio.NC · 2015 · author #1
- Quantum Deep Learning quant-ph · 2014 · author #2
- Riffled Independence for Efficient Inference with Partial Rankings cs.LG · 2014 · author #2
- Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning quant-ph · 2014 · author #2
- On Discarding, Caching, and Recalling Samples in Active Learning cs.LG · 2012 · author #1
- Efficient Probabilistic Inference with Partial Ranking Queries cs.LG · 2012 · author #2
Mentions
Frequent Coauthors
- Debadeepta Dey 9 shared papers
- Gireeja Ranade 5 shared papers
- Nathan Wiebe 5 shared papers
- Daniel McDuff 3 shared papers
- Krysta M Svore 3 shared papers
- Neel Joshi 3 shared papers
- Sanjiban Choudhury 3 shared papers
- Shital Shah 3 shared papers
- Christopher Granade 2 shared papers
- Eric Horvitz 2 shared papers
- Jonathan Huang 2 shared papers
- Sebastian Scherer 2 shared papers
- Wen Sun 2 shared papers
- Abigail Hammer 1 shared papers
- Anh Truong 1 shared papers
- Benjamin Hepp 1 shared papers
- Carlos E. Guestrin 1 shared papers
- Carlos Guestrin 1 shared papers
- Chris Lovett 1 shared papers
- Dan Morris 1 shared papers