Yogesh Verma

27 papers A* 8B 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Reinforced Logic-Based Distributed Routing within Isolated Secure Zones.
ASP-DAC
Yogesh Verma, Mattis Hasler, Sebastian Haas, Friedrich Pauls
2025 J jnl
A Secure-by-Design Hardware/Operating System as a Substrate for Trustworthy Computing.
IEEE Trans. Very Large Scale Integr. Syst.
Sebastian Haas, Christopher Dunkel, Friedrich Pauls, Mattis Hasler, Yogesh Verma, Nilanjana Das, Michael Raitza
2025 — conf
An Architectural Approach for the Secure Integration of Hardware Accelerators into a Trustworthy MPSoC Platform.
MCSoC
Sebastian Haas, Mattis Hasler, Friedrich Pauls, Christopher Dunkel, Yogesh Verma, Nilanjana Das, Michael Raitza
2025 — conf
Attack on Memory Encryption in MPSoCs using HT-infected AES core.
ICECS
Nilanjana Das, Mattis Hasler, Friedrich Pauls, Yogesh Verma, Sebastian Haas
2025 A* conf
E(3)-equivariant models cannot learn chirality: Field-based molecular generation.
ICLR
Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
2025 J jnl
Let Physics Guide Your Protein Flows: Topology-aware Unfolding and Generation.
CoRR
Yogesh Verma, Markus Heinonen, Vikas Garg
2025 A* conf
Positional Encoding meets Persistent Homology on Graphs.
ICML
Yogesh Verma, Amauri H. Souza, Vikas K. Garg
2025 J jnl
Positional Encoding meets Persistent Homology on Graphs.
CoRR
Yogesh Verma, Amauri H. Souza, Vikas Garg
2025 A* conf
Robust Simulation-Based Inference under Missing Data via Neural Processes.
ICLR
Yogesh Verma, Ayush Bharti, Vikas Garg
2025 J jnl
Robust Simulation-Based Inference under Missing Data via Neural Processes.
CoRR
Yogesh Verma, Ayush Bharti, Vikas Garg
2024 A* conf
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs.
ICLR
Yogesh Verma, Markus Heinonen, Vikas Garg
2024 J jnl
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs.
CoRR
Yogesh Verma, Markus Heinonen, Vikas Garg
2024 A* conf
Diffusion Twigs with Loop Guidance for Conditional Graph Generation.
NeurIPS
Giangiacomo Mercatali, Yogesh Verma, André Freitas, Vikas Garg
2024 J jnl
Diffusion Twigs with Loop Guidance for Conditional Graph Generation.
CoRR
Giangiacomo Mercatali, Yogesh Verma, André Freitas, Vikas Garg
2024 J jnl
Field-based Molecule Generation.
CoRR
Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
2024 — conf
Integration of IP-Cores for the M
ISOCC
Friedrich Pauls, Sebastian Haas, Yogesh Verma
2024 A* conf
Topological Neural Networks go Persistent, Equivariant, and Continuous.
ICML
Yogesh Verma, Amauri H. Souza, Vikas Garg
2024 J jnl
Topological Neural Networks go Persistent, Equivariant, and Continuous.
CoRR
Yogesh Verma, Amauri H. Souza, Vikas Garg
2024 — conf
Trustworthy Silicon: An MPSoC for a Secure Operating System.
NorCAS
Sebastian Haas, Christopher Dunkel, Friedrich Pauls, Mattis Hasler, Yogesh Verma
2023 J jnl
AbODE: Ab Initio Antibody Design using Conjoined ODEs.
CoRR
Yogesh Verma, Markus Heinonen, Vikas Garg
2023 A* conf
AbODE: Ab initio antibody design using conjoined ODEs.
ICML
Yogesh Verma, Markus Heinonen, Vikas Garg
2023 — conf
Crosstalk-Based Hardware Trojan In Low Power Designs.
ISOCC
Yogesh Verma, Mattis Hasler
2022 A* conf
Modular Flows: Differential Molecular Generation.
NeurIPS
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
2022 J jnl
Modular Flows: Differential Molecular Generation.
CoRR
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
2022 J jnl
Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments.
Ann. Oper. Res.
Subhashis Chatterjee, Deepjyoti Saha, Akhilesh Sharma, Yogesh Verma
2021 J jnl
Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty.
IEEE Trans. Veh. Technol.
Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney
2020 B conf
Linear MMSE Precoder Combiner Designs for Decentralized Estimation in Wireless Sensor Networks.
GLOBECOM
Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney