Biswadip dey
6 papers · 2017–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Optimization & Theory
(4)
Architectures
(3)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Techniques
(1)
Keywords
hamiltonian neural network
(2)
physics-informed learning
(2)
reinforcement learning
(1)
multi-task learning
(1)
network architecture
(1)
graph theory
(1)
optimal control
(1)
system identification
(1)
parallel processing
(1)
gradient computation
(1)
decentralized control
(1)
bipartite graph
(1)
model-based control
(1)
differentiable simulation
(1)
ordinary differential equation
(1)
routing optimization
(1)
decentralized learning
(1)
traffic signal control
(1)
hamiltonian dynamics
(1)
route optimization
(1)
Papers
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
L4DC 2023
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
AAAI 2022
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
L4DC 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
NeurIPS 2021
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
ICLR 2020
A graph-theoretic approach to multitasking
NeurIPS 2017