Ashwin De Silva

18 papers A* 2B 1Misc 3Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal Control of the Future via Prospective Foraging.
CoRR
Yuxin Bai, Aranyak Acharyya, Ashwin De Silva, Zeyu Shen, James Hassett, Joshua T. Vogelstein
2025 — conf
Prospective Learning in Retrospect.
AGI (1)
Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
2025 J jnl
Prospective Learning in Retrospect.
CoRR
Yuxin Bai, Cecelia Shuai, Ashwin De Silva, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
2025 J jnl
Simple Calibration via Geodesic Kernels.
Trans. Mach. Learn. Res.
Jayanta Dey, Haoyin Xu, Ashwin De Silva, Joshua T. Vogelstein
2024 A* conf
Prospective Learning: Learning for a Dynamic Future.
NeurIPS
Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2024 J jnl
Prospective Learning: Learning for a Dynamic Future.
CoRR
Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
2023 J jnl
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.
CoRR
Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe
2023 — conf
Prospective Learning: Principled Extrapolation to the Future.
CoLLAs
Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam S. Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein
2023 A* conf
The Value of Out-of-Distribution Data.
ICML
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2022 J jnl
Out-of-distribution Detection Using Kernel Density Polytopes.
CoRR
Jayanta Dey, Ashwin De Silva, Will LeVine, Jong M. Shin, Haoyin Xu, Ali Geisa, Tiffany Chu, Leyla Isik, Joshua T. Vogelstein
2022 J jnl
The Value of Out-of-Distribution Data.
CoRR
Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
2022 Misc conf
Towards Accurate Cross-Domain in-Bed Human Pose Estimation.
ICASSP
Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ashwin De Silva, Chamira U. S. Edussooriya
2021 Misc conf
A Joint Convolutional and Spatial Quad-Directional LSTM Network for Phase Unwrapping.
ICASSP
Malsha V. Perera, Ashwin De Silva
2021 J jnl
Towards Accurate Cross-Domain In-Bed Human Pose Estimation.
CoRR
Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ashwin De Silva, Chamira U. S. Edussooriya
2020 J jnl
A Joint Convolutional and Spatial Quad-Directional LSTM Network for Phase Unwrapping.
CoRR
Malsha V. Perera, Ashwin De Silva
2020 B conf
Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms.
SMC
Asma M. Naim, Kithmin Wickramasinghe, Ashwin De Silva, Malsha V. Perera, Thilina Dulantha Lalitharatne, Simon Lind Kappel
2020 J jnl
Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms.
CoRR
Asma M. Naim, Kithmin Wickramasinghe, Ashwin De Silva, Malsha V. Perera, Thilina Dulantha Lalitharatne, Simon Lind Kappel
2020 Misc conf
Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals.
ICASSP
Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe, Asma M. Naim, Thilina Dulantha Lalitharatne, Simon Lind Kappel